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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Ready to make a global impact by industrializing AI?

About The Role:

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

We are looking for a talented and versatile entry-level Machine Learning Engineer to join our growing team. In this role, you will be a key contributor to the full lifecycle of our core machine learning infrastructure. You will be responsible for both building our high-performance, low-latency model inference engine and ensuring its rock-solid reliability through a best-in-class observability platform.

This is a role for a strong software and machine learning engineering generalist who is passionate about building robust, scalable systems. You will be empowered to solve complex problems, write production-grade code, and make a significant impact on the systems that power our intelligent products.

Key Responsibilities:

Design, build, and maintain the full lifecycle of our machine learning systems, from our low-latency inference engine to the observability platform that supports it.
Develop and optimize high-performance, mission-critical services using languages like Rust, Python, and Go.
Enhance the reliability and visibility of our MLOps ecosystem by building and scaling solutions for monitoring, logging, and tracing.
Collaborate closely with data scientists and ML engineers to deploy, scale, and troubleshoot machine learning models in production.
Write clean, high-quality, and well-tested code, and participate in code reviews to raise the bar for the entire team.
Diagnose and resolve performance bottlenecks and system failures in our production environment.

If you are passionate about machine learning, model inference technology, large scale low latency system and are excited about making a significant impact, we would love to hear from you.

This is a hybrid position based in Austin, TX, allowing alternating between remote and office work. Expectations are to be in-office at least three days a week, aiming for a 50% office presence based on business requirements.

Qualifications

Basic Qualifications

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD).

Preferred Qualifications

Strong programming proficiency in at least one of the following languages: Rust/C++/Go/Java
A strong desire to learn and a passion for building impactful, high-performance systems.
Experience with performance optimization.
Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Familiarity with observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and cloud platforms (AWS, GCP, Azure).
Knowledge of network programming, gRPC, Protocol Buffers, or other RPC frameworks.
Experience working on large-scale distributed systems.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $116,500.00 to $164,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

Build the best cloud-based AI/ML solutions to power intelligent enterprise services
Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Qualifications

To be successful in this role you have:

A Bachelor's degree and 2+ years of related experience; or an advanced degree without experience; or equivalent work experience
Proficient in prompt engineering and developing LLM based features
Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
Experience building new products that use challenging algorithms
Expertise in coding efficient, object-oriented, modularized and quality software
Knowledge of core AI/ML techniques and algorithms
Knowledge of unit testing, profiling, and code tuning

For positions in this location, we offer a base pay of $137,300 - $212,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Company Description

Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui, ServiceNow se présente comme un leader mondial du marché, apportant une technologie innovante améliorée par l’IA à plus de 8 100 clients, dont 85% des entreprises du Fortune 500®. Notre plateforme intelligente basée sur le nuage connecte de manière transparente les personnes, les systèmes et les processus pour permettre aux organisations de trouver des méthodes de travail plus intelligentes, plus rapides et meilleures. Mais ce n’est que le début de notre voyage. Joignez-vous à nous dans la poursuite de notre objectif de rendre le monde meilleur pour tous.

######

Job Description

Ce que vous pouvez faire dans ce rôle :

L’équipe CoreLLM de ServiceNow mène des recherches et des travaux d’ingénierie de pointe pour développer les modèles propriétaires de ServiceNow (NowLLM). Cet effort couvre toutes les phases du développement de modèles de grande taille (LLM), y compris la curation des données, l’entraînement et l’évaluation. Notre objectif est d’améliorer en continu les modèles NowLLM en y intégrant des fonctionnalités innovantes et en optimisant leur efficacité, afin d’établir un avantage différenciant pour les applications sur la plateforme ServiceNow. Pour atteindre cet objectif, nous avons besoin d’un cadre d’évaluation robuste pour évaluer NowLLM et les autres modèles de pointe du marché.

Les LLMs sont utilisés par différentes Business Units (BU) de ServiceNow afin d’alimenter un large éventail de cas d’usage spécifiques, permettant aux équipes de résoudre des problèmes complexes et de fournir des solutions sur mesure qui accélèrent l’innovation et l’efficacité sur l’ensemble de la plateforme.

Vous jouerez un rôle majeur dans la construction d'un framework d’évaluation de nouvelle génération pour LLMs, qui viendra enrichir la plateforme NOW en apportant des expériences IA au quotidien de nos clients. Nous commençons tout juste avec nos premiers clients pilotes et avons besoin de votre aide pour concevoir et déployer une large gamme de solutions auprès de plus de 9 000 entreprises clientes dans le monde.

Confronté(e) à des défis et à des jeux de données réels, vous devrez mobiliser votre expertise en IA/ML et votre créativité pour appliquer des méthodes existantes et en développer de nouvelles, afin de résoudre ces problèmes de manière pratique et évolutive.
Mener des recherches, proposer et mettre en œuvre des modèles/méthodes adaptés pour le benchmarking des LLM.
Participer à la collecte de données, à la génération de données synthétiques et à la création de benchmarks personnalisés pour évaluer les capacités variées des LLM.
Collaborer quotidiennement avec une équipe composée de développeurs, chercheurs appliqués, chefs de produit et ingénieurs qualité pour produire des logiciels fiables et performants.
Contribuer au développement d’outils facilitant l’évaluation des LLM et effectuer des analyses de modèles et d’erreurs.
Développer des idées innovantes et brevetables afin d’assurer la compétitivité de nos produits face aux travaux similaires menés dans l’industrie.
Éventuellement, rédiger des articles de recherche en collaboration avec notre équipe de recherche, destinés à être publiés dans les conférences d’IA les plus reconnues.
Travailler avec les responsables produits pour comprendre les besoins détaillés et assumer la responsabilité de votre code de bout en bout : conception, implémentation, tests et livraison de solutions à fort impact et de haute qualité pour nos utilisateurs.

######

What you get to do in this role:

The CoreLLM team at ServiceNow leads groundbreaking research, engineering, building ServiceNow's signature models (NowLLM). The effort involves all phases of Large Language Models development, including data curation, training, and evaluation. Our goal is to consistently enhance and improve NowLLM models, by incorporating innovative features and optimizing efficiency, establishing a differentiated advantage for applications on the ServiceNow Platform. To that end, we need a robust evaluation framework to evaluate NowLLM and all other state-of-the-art models.
\n
\nLLMs are consumed across various Business Units (BUs) within ServiceNow to power a wide range of BU-specific use cases, enabling teams to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency across the platform.

You will play a major part in building next generation evaluation framework for Large Language Models (LLMs), that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world.

Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
Research, propose and implement appropriate models/techniques for LLM benchmarking.
Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities.
Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
Contribute to the implementation of tools to facilitate LLMs evaluation and perform model / error analysis.
Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.
Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences.
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.

Qualifications

Pour réussir dans ce rôle, vous devez :

Optimization de prompt : maîtrise des techniques pour optimizer un prompt, et du développement de fonctionnalités basées sur des LLM.
Outils de productivité IA : expérience dans l’utilisation d’outils de productivité IA tels que Cursor, Windsurf, etc.
Expérience dans l’exploitation ou la réflexion critique sur l’intégration de l’IA dans les processus de travail, la prise de décision ou la résolution de problèmes. Cela peut inclure l’utilisation d’outils alimentés par l’IA, l’automatisation de workflows, l’analyse générés par l’IA ou l’exploration de l’impact potentiel de l’IA sur une fonction ou un secteur.
2+ ans d’expérience pertinente avec un Bachelor ; ou, un Master ; ou une expérience professionnelle équivalente.
Maîtrise de Python.
Solides connaissances théoriques et pratiques en apprentissage automatique / apprentissage profond.
L'expérience avec l'évaluation de LLMs, ainsi qu’en génération de données synthétiques, est un atout.
Capacité à lire et expérimenter des idées issues de publications de recherche récentes.
Grande créativité, fortes aptitudes à la résolution rapide de problèmes et adaptabilité.
Compétences de communication efficaces pour transmettre les résultats de recherche à la fois à des interlocuteurs techniques et non techniques, en assurant une compréhension claire des avantages et des limites des LLM au sein de l’organisation.

Vous ne savez pas si vous possédez toutes les qualifications? Nous vous encourageons tout de même à postuler! Nous accordons une grande importance à l'inclusion et accueillons des candidats de divers horizons, y compris des parcours non traditionnels. Les expériences uniques sont une source de richesse pour notre équipe, et la volonté de rêver grand fait de vous des candidats d'exception.

######

To be successful in this role you have:

To be successful in this role you have:
Prompt Engineering: proficient in prompt engineering and developing LLM based features
AI productivity tools: experience in using AI productivity tools such as Cursor, Windsurf, etc.
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
2+ years of relevant experience with a Bachelor's degree; or a Master's degree; or equivalent work experience.
Solid expertise in Python.
Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience.
Experience with LLM benchmarking and evaluation and generating synthetic data is a plus.
Ability to read and experiment with ideas from recent research papers.
High level of creativity, quick problem-solving abilities, and adaptability.
Effective communication skills to convey research findings to both technical and non-technical stakeholders, ensuring a clear understanding of the benefits and limitations of LLMs across the organization.

Additional Information

Work Personas

Nous abordons notre monde du travail distribué avec flexibilité et confiance. Les profils de travail (flexible, à distance ou requis au bureau) sont des catégories attribuées aux employés de ServiceNow en fonction de la nature de leur travail et de leur lieu de travail assigné. Pour en savoir plus, cliquez ici. Pour déterminer l'éligibilité à un profil de travail, ServiceNow peut confirmer la distance entre votre résidence principale et le bureau ServiceNow le plus proche à l'aide d'un service tiers.

Equal Opportunity Employer

ServiceNow est un employeur qui souscrit au principe de l'égalité d’accès à l’emploi. Tous les candidats qualifiés recevront une considération pour l’emploi sans égard à la race, la couleur, la croyance, la religion, le sexe, l’orientation sexuelle, l’origine nationale ou la nationalité, l’ascendance, l’âge, le handicap, l’identité ou l’expression de genre, l’état matrimonial, le statut d’ancien combattant ou toute autre catégorie protégée par la loi. De plus, tous les candidats qualifiés ayant des antécédents d’arrestation ou de condamnation seront pris en considération pour un emploi conformément aux exigences légales.

Accommodations

Nous mettons tout en œuvre offrir une expérience accessible et inclusive pour tous les candidats. Si vous avez besoin d’une mesure d’adaptation raisonnable pour compléter une partie du processus de candidature ou si vous n’êtes pas en mesure d’utiliser cette candidature en ligne et que vous avez besoin d’une autre méthode pour postuler, veuillez communiquer avec globaltalentss@servicenow.com pour obtenir de l’aide.

Export Control Regulations

Pour les postes nécessitant l’accès à une technologie contrôlée assujettie aux règlements sur les contrôles à l’exportation, y compris les U.S. Export Administration Regulations (EAR), ServiceNow peut être tenu d’obtenir l’approbation des autorités gouvernementales en matière de contrôle des exportations pour certaines personnes. Tout emploi est subordonné à l’obtention par ServiceNow d’une licence d’exportation ou d’une autre approbation qui pourrait être requise par les autorités de contrôle des exportations compétentes.

######

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

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Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build the products used by billions of people and businesses every day. We are looking for extremely entrepreneurial Product Managers who know how to move quickly and operate under high ambiguity.Product Manager, AdTech and Machine Learning Responsibilities

Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
Understand Meta’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
Incorporate data, research, and market analysis to inform product strategies and roadmaps
Drive product development with teams of world-class engineers and designers, while maintaining team health
Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
Define and analyze metrics that inform the success of products. Identify and track key performance metrics
8+ years of product management experience, out of which significant experience building business/ consumer-facing products leveraging machine learning based personalization, ranking or recommendations services, or ad-tech
Fluency in translating customer needs and product requirements into machine learning solutions that deliver measurable user and business impact
Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
Experience delivering technical presentations
Experience analyzing complex, large-scale data sets and making decisions based on data
Technical experience with analytical tools, methodologies, and design
Displaying leadership, organizational and execution skill
Experience gathering requirements across wide-ranging product areas and user groups, and converting and developing them into a product solution
Proven communication skills
Experience of the advertising/ ad Tech ecosystem
Bachelor's or Master degree (or degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences

Minimum QualificationsPreferred QualificationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Research Intern, AI Systems and Machine Learning (PhD)","datePosted":"2025-09-23","description":"Meta was built to help people connect and share, and over the last decade, our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in machine learning systems, core algorithmic and system hardware-software co-design, and infrastructures that enable and advance AI technologies.

Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in ML systems and infrastructures, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Intern, AI Systems and Machine Learning (PhD) Responsibilities

Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures in various technology areas, e.g., ranking and retrieval systems, distributed training/inference optimizations.
Contribute to research that leads to innovations in scalable machine learning systems, resource-efficient AI and neural network architectures for data and algorithm scaling, memory/communication and energy-efficient AI systems, and hardware/software co-design, AI-driven compiler, system design and performance optimization, etc.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
Publish research results and contribute to research that can be applied to Meta product development.
Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, Computer Science, or related fields
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, or other related languages
Experience in real-system implementations (e.g., GPU, NPU)
Experience building systems based on machine learning and/or deep learning methods
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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Minimum Qualifications:

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
1 year of experience with software development in one or more programming languages during coursework/projects, research, internships, or practical experience in school, work, or Open Source projects.

Preferred Qualifications:

Master's degree in Computer Science or Engineering.
1 year of experience with data structures or algorithms.

About The Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

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Minimum Qualifications:

Bachelor's degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience implementing core ML concepts.
1 year of experience with data structures or algorithms.

Preferred Qualifications:

Experience with machine learning.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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Minimum Qualifications:

Bachelor's degree in Engineering or equivalent practical experience.
5 years of experience in manufacturing.
Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.
Experience in design for manufacturability and serviceability.

Preferred Qualifications:

5 years of experience at a company developing supply chains in manufacturing and test.
Experience working with Original Design Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC).
Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements.
Experience with bring-up or bench testing hardware in a lab environment.
Knowledge of SQL queries and scripting in Python or Bash.

About The Job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The ML Supply Chain and Operations (MLSCO) team is responsible for the deployment of machine learning capacity in Google’s Fleet. MLSCO-NPI leads cross-functional program planning and execution to deliver next generation machine learning systems from concept to End of Life (EOL), with operational excellence and speed. Together, we are building the engine which powers Google's ML capability and driving the evolution of artificial intelligence. In the Product Engineering team, we are proud to be our engineers' engineers and love the thrill of solving complex problems to bring designs to life and make advanced technology work at massive scale.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long-term reliability. Validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements.
Lead a cross-functional team towards resolution of components and build quality excursions during new product introduction build phases.
Provide on-site and remote support for pre-production builds, manage the bone pile, and drive yield bridge analysis to improve product quality. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues.

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Does pioneering new and innovative ways to collect and showcase key customer data sound exciting to you? Are you passionate about data and do you feel we have been missing the opportunity to be more data-informed at Microsoft? Do you want to contribute to an effort that is one of the most critical for the future success of Microsoft, E+D and SCI? If so, the Insights, Data Engineering & Analytics (IDEAs) team might be an excellent place for you to grow your career. M365 together with SCI is at the core of our Company’s mission to enable people and organizations to achieve more.

Be part of the team building platform services handling millions of users and exabytes of data. This is not just some large-scale web service: the implementation ranks among the world’s largest and state of the art distributed systems, spanning across data centers around the world. The Insights, Data Engineering & Analytics team’s goal is to champion a data-informed culture; to inspire and enable the entire E+D organization to make more informed decisions through data. We see this effort as a huge opportunity in providing information to the organization that will improve efficiency, empowerment, and help Microsoft win in the critical cloud business sector.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Software Engineer II on our team, you would be responsible for:

The technical leadership and end-to-end development of the data solutions that will help E+D and SCI gain the strategic insights we need to deliver the most optimal user experience and to quickly adapt to market conditions that are constantly evolvingYou will also apply your engineering and analytical skills to petabyte scale data problems using the
latest and most modern data analytics technologies on an ever-increasing number of data signals produced by the different products part of the M365 suite and our partners across the company
In this position you will face tough engineering challenges every day as we deal with very large, disparate and usually complex data sets as we aim to provide an efficient and reliable platform for data wrangling and curation. The integration of different data democratization and visualization techniques will also enable us to extract even the most deeply embedded insights from this data to then make those insights readily available to everyone in our organization, affording them the flexibility of analyzing said data in a self-service manner.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
We are looking to hire Full stack, backend and frontend engineers for multiple roles.
Experience in coding in languages including, but not limited to, Java, C#, C, C++, or equivalent experience OR/AND experience with at least one of the following scripting languages: JavaScript, PowerShell, Python, Perl, or Ruby (for data manipulation and automation tasks.
OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Experience working and building distributed cloud services using Azure or related technology stacks.
Experience with Azure Data Factory, Cosmos, Kusto, Spark, Kafka or other big-data related technology stacks.
Experience of software testing/release processes and methodologies.
Proven design and analytical skills, with a strong bias for engineering excellence at scale.
Functional knowledge of cloud computing and online services business models, including business, technical, and operational metrics
Solid background in data warehouse principles, architecture, design and its implementation at large scale.
Ability to operate effectively and independently in a dynamic, fluid environment.
Ability to learn and grasp concepts quickly in a fast-paced environment.
OR equivalent experience.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#Dpg

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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

As a Senior Software Engineer II in the Contact Automation team, you will play a pivotal role in shaping the future of customer support at Wise. You'll be a key technical leader in an autonomous team, driving the vision and end-to-end solutions for the Wise Assistant. This is a high-impact role where you'll tackle complex engineering challenges to automate real customer issues, significantly improving their experience and our operational efficiency.

How We Work

Agile & Collaborative: We operate in an agile fashion, fostering close collaboration between engineers, product managers, content designers, analysts, and data scientists.
Cross-Functional Teams: You'll work alongside talented individuals to design, build, and iterate on solutions that deliver tangible customer value.
International Presence: Our team is distributed across our Budapest, New York and London offices, offering a diverse and dynamic working environment.

What You'll Be Working On

Lead the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant. This includes our core Java microservice consuming Kafka messages, as well as contributing to our Python and TypeScript codebases.
Take ownership of our intent detection systems, contact processing pipelines, and the routing logic that connects customers to various automation types (templates, RAG, LLM workflows, AI agents, vendor solutions)
Innovate with AI: Design and implement solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively.
Integrate & Orchestrate: Lead and manage the technical integration with third-party AI Agent vendors, ensuring seamless and robust connectivity.
Scale & Optimize: Continuously improve the performance, reliability, and scalability of our automation platform to handle growing volumes and complexity.
Collaborate for Impact: Work closely with content designers to implement and refine automated conversational flows, ensuring a high-quality user experience.
Mentor: Provide technical guidance and mentorship to other engineers, fostering a culture of engineering excellence and continuous learning.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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At Microsoft Research AI for Science , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

We seek a highly motivated Researcher to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins --- how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science (see our blog post for links to our open-source software and other resources, as well as this explainer video).

Why This Role Is Exciting

You’ll work on problems that don’t yet have well‑defined benchmarks. Where part of the innovation is deciding what to optimise and proving it matters for biology. It’s an opportunity to bridge state‑of‑the‑art ML with meaningful biomedical impact in a highly collaborative research environment.

Contract Duration: 2 Years

Location: Berlin, Germany Or Cambridge, UK

Responsibilities

Create novel ML techniques and the datasets needed to train them for biomolecular structure, dynamics, and function.
Design, implement, and iterate on model architectures and training algorithms (e.g., diffusion/sequence–structure models, representation learning).
Define success where standards don’t exist: propose sound benchmarks and metrics to evaluate model quality and real‑world utility.
Build high‑quality research code (Python/PyTorch) with reproducible workflows and robust data pipelines.
Partner across disciplines—communicate clearly with ML researchers and experimental/computational biologists; present results and influence direction.
Work autonomously and as a team player, regularly reporting insights, risks, and next steps.
Thrive on imperfect, heterogeneous data, applying rigorous data curation, augmentation, and uncertainty‑aware evaluation to “messy” real‑world datasets.
Aim for impact: translate promising ideas into artifacts others can use (papers, code, models, datasets).

Qualifications

Required/Minimum Qualifications:

Masters or PhD or equivalent experience in Machine Learning, Physics, Chemistry, or a related discipline.
Experience developing computational methods or machine learning models.
Strong communication skills to work effectively in an interdisciplinary team, including explaining technical concepts to collaborators from diverse backgrounds.

Other Requirements:

Candidates should have deep expertise in some discipline relevant to the project, for example:

Deep learning methods in structural biology
Designing and producing large scale datasets for machine learning
Collaborative code development in a shared codebase
Large-scale, distributed model training and other workflows
Computational methods to make use of real-world biological data (cryo-EM, binding affinity assays, etc.)
Computational biology / bioinformatics workflows
Molecular dynamics simulation, rare event sampling and statistical mechanics

Preferred/Additional Qualifications:

Capability to align research goals with external collaborators and apply computational data generation efforts and model development to real-world health challenges such as drug design

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details:

Function/Department: Advanced Analytics
Location: Bangalore, India
Employment Type: Full-time
Role Overview – Lead Software Engineer - API

We are seeking a driven and experienced Software Engineer – Backend to join our growing engineering team. Reporting to the Lead Software Engineer - Backend, you will play a key role in designing, building, and maintaining the backend systems that power our web applications and AI-driven features. This role requires hands-on expertise in Node.js, Python, real-time systems, queuing mechanisms, and database design. You’ll collaborate with cross-functional teams to deliver scalable, secure, and high-performance solutions that align with business goals.

Responsibilities

Develop, test, and maintain scalable backend services and APIs using Node.js, Python or similar technologies.
Contribute to the design and implementation of backend architecture, ensuring reliability, performance, and maintainability.
Build and maintain real-time features using WebSockets and implement queuing systems such as Kafka, RabbitMQ, or Redis Pub/Sub.
Integrate AI-powered features into backend workflows by consuming APIs or services provided by internal or third-party AI platforms.
Design and manage data models and interactions with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Work closely with DevOps to support CI/CD pipelines and deployment automation on cloud platforms such as AWS, Azure, or GCP.
Monitor and optimize application performance, diagnose production issues, and contribute to ongoing stability and scalability improvements.
Collaborate with frontend engineers and other team members to define clean, well-documented APIs.
Participate in code reviews, technical discussions, and knowledge-sharing sessions within the backend team.
Support peers and junior engineers and contribute to a collaborative, learning-oriented team culture.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
3+ years of professional experience in backend development with strong skills in Python or Node.js.
Hands-on experience building RESTful APIs and real-time systems using WebSockets or other messaging protocols.
Working knowledge of AI integration, such as connecting to APIs from OpenAI or other machine learning services.
Experience implementing and managing message queues like Kafka, RabbitMQ, or Redis streams.
Proficiency with both SQL and NoSQL databases, including query optimization and schema design.
Experience working with cloud platforms (e.g., AWS, Azure, GCP) and using tools for CI/CD, containerization, and deployment.
Strong debugging, problem-solving, and performance tuning skills.
Ability to work independently, take ownership of tasks, and deliver high-quality code on schedule.
Excellent communication and collaboration skills, with a willingness to learn and share knowledge.

Why Chubb?

Join Chubb to be part of a leading global insurance company!

Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025
Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:

Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

Join Us

With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.

Apply Now: Chubb India Career page

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Science and Technology Facilities Council

Salary: £35,049 per annum + £1,000 welcome bonus

Contract Type: Permanent

Hours: Full-time

Location: Rutherford Appleton Laboratory, Harwell, Oxfordshire OX11 0QX

Closing date: 19th October 2025

Assessment Centre: December 2025 / January 2026

Start date: September 2026

The ISIS Neutron and Muon Source is located at the Rutherford Appleton Laboratory in the UK and is an accelerator facility producing neutrons and muons used for groundbreaking research in material and biological sciences. The Controls group is responsible for maintaining the control system for the accelerator to keep ISIS running 24/7.

The software applications controls team develops and maintains the software that allows our operators to monitor and control the ISIS ion-source, linear accelerator and synchrotron. When new equipment is installed or old equipment is replaced, we work with the equipment owners to make it controllable by the operators in the ISIS Main Control Room, including developing user interfaces and applications. We are also responsible for collecting data from across the accelerators and using it and other controls resources to implement sophisticated machine learning for anomaly detection and optimisation of operations among other uses.

Graduate Scheme

The STFC Graduate scheme will give you the opportunity to really pursue your interests and passion early in your journey with us, supported by technical training and a broader programme of career support and training and development.

Our dedicated Graduate Development Team will provide the right combination of challenge and support throughout, helping you achieve your ambitions. We know that professional recognition is also important to you too, so we will provide mentoring and expertise to help you achieve valued qualifications or chartered status in your chosen field.

Key Duties & Responsibilities

A recent migration to the open-source EPICS software for control of the accelerators at ISIS has provided more opportunities to interact with the machine using modern technologies and open-source tooling. With this in mind, an opportunity for a graduate to join the team has opened up!

Our current and future projects include using these tools and technologies to support everyday operations of the accelerator. Alongside developing operator-focused applications to improve how users interact with the control system, we are also looking to extend our use of machine learning to improve the efficiency of routine operations. Our graduate will emphasise development of new user interface tools, including related to the deployment and application of machine learning.

The successful candidate would be involved with:

Supporting the operation of the ISIS accelerator control system through fixes and improvements in existing applications as well as developing new features
Design and develop new applications, as well as replace legacy systems with modern designs, to improve user interaction with the control system
Find opportunities to integrate machine learning into existing applications, support this integration and develop new solutions where appropriate
Collaborate with other STFC departments and international accelerator facilities keep ISIS at the forefront of accelerator controls development and application of machine learning. This will involve attending both national and international conferences and undertaking placements at other facilities, either abroad or locally. A great networking opportunity!

Person Specification

In order to apply for the role we are looking for the following:

Essential:

Achieved, or be on course to achieve, a minimum 2:1 degree, in a relevant field of study (S)
Have the right to live and work in the UK at time of starting employment (S)
Experience in one (or more) of the following computing languages: Python, C/C++/Rust, C#, Java/Kotlin, JavaScript, R, MATLAB or similar functional or object-oriented languages. Java/Kotlin skills and user interface development experience would be particularly valuable (S&I)
Experience writing code for application development (S&I)
Ability to condense complex specifications into concise requirements (I)
Ability to adapt based on feedback from other developers, technical specialists or users (I)

Desirable:

Interest in machine learning (S&I)
Knowledge of physical sciences, (non-software) engineering or mathematics (S)
Understanding of software development good practice (version control, testing, CI/CD) (S&I)
Ability to work with backend services such as data sources (SQL, NoSQL, time-series, or other), or messaging technologies (Kafka, MQTT, ZeroMQ etc) (S&I)

Employee Benefits

We are offering a permanent position with a whole host of benefits including:

30 days holiday (in addition to 10.5 bank holidays and privilege days).
Flexible working hours.
An excellent defined average salary pension scheme.
Easily accessible public transport links/ free parking.
Excellent learning and development opportunities.
Cycle to work scheme.

Link to more benefits: https://stfccareers.co.uk/rewards-and-benefits/

As this job does not fulfil the UK Government minimum criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y

Application Guidance

Please note that we can only accept a maximum of 2 applications per candidate.

Part of our application process involves submitting your CV and a cover letter. Your cover letter should address your suitability for the opportunity based how you meet each essential criteria stated in this advert.

Please note that we hold the right to close this vacancy early if a sufficient number of applications have been received.

We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Together, our scientists, technologists, engineers and business support team explore the unknown across every field you could think of. And they turn what they find into work that changes the world around us.

What could you achieve with the world-leading facilities and experts of one of Europe's largest research organisations by your side? Join us and discover what's possible!

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UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position in research and innovation.

Supporting some of the world’s most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world-class research, skills and business-led innovation.

More information can be found at www.ukri.org.

Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI.

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How we support EDI in the workforce

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At UKRI, we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to thrive and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’.

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Disability Confident Employer

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As users of the disability confident scheme, we guarantee to interview all applicants with a disability who opt into the disability confident scheme and meet the minimum criteria for the role. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

How To Apply

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Online applications only preferred for this role. Please submit a CV and covering letter which clearly outlines how you fulfil the criteria specified along with your motivation for UKRI and the role. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit an application without a covering letter may result in the application not being considered. Assessment will only be based upon the content of your submitted covering letter and CV and not the ‘experience’ section of the application.

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UKRI seeks to ensure it creates and maintains a system of openness, fairness and inclusion – a collaborative, trusted environment, which is attractive to and accessible to everyone who is interested in developing their career with us.

The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.

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The Linux Systems Group (LSG), part of Microsoft’s Core Operating Systems group, is central to powering Azure Cloud through Linux Operating Systems and virtualization technologies. The team is seeking a Software Engineer with strong programming skills who will closely work with senior engineers to develop, debug and maintain system-level software for a Linux-based platform. This is a great opportunity to join LSG and be part of Microsoft's Azure Cloud Infrastructure growth.

Responsibilities

Contribute and occasionally drive design, development and debugging of low-level system software components like bootloaders, system daemons, services and Kernel modules
Drive performance, scalability instrumentation and finetune the platform by fixing issues
Continuously learn and adapt to new technologies and business priorities to ensure successful delivery of assigned tasks
Write clean, efficient, and well-documented code in C/C++, with occasional scripting in Python, Bash, and Makefiles
Analyze and comprehend existing systems, identify areas of improvement and fix issues to improve the platform
Collaborate with cross-functional teams including hardware, firmware and application developers and ensure seamless integration
Collaborate with infrastructure, DevOps, and security teams to ensure seamless integration and deployment
Participate in code reviews, testing, and debugging sessions to ensure high-quality deliverables
Participate in debugging, profiling, and root cause analysis of system-level issues in production and staging environments
Assist in system bring-up, troubleshooting on embedded or server-class Linux platforms
Contribute to Open Source Software (OSS) technologies
Contribute to automation of infrastructure components and CI/CD pipelines

Qualifications

Required:

Bachelor’s degree in Computer Science, or a related field
5+ years of experience with strong programming skills in C/C++ and a solid grasp of systems programming concepts
Strong understanding of Linux internals, including process management, file systems, and networking
Hands on experience in kernel-space vs. user-space concepts
Hands on experience in Linux platform and Kernel performance tuning and issue debugging

Preferred:

Experience with Git and standard development workflows
Ability to read and understand large, complex codebases and contribute meaningfully
Strong analytical, problem-solving and debugging skills
Exposure to Linux kernel development, device drivers, or embedded systems
Experience with cross-compilation, build systems (e.g., Make, CMake, Yocto), and debugging tools (e.g., GDB, strace, perf)
Familiarity with hardware-software interfaces such as I2C, SPI, UART, or PCIe
Contributions to open-source projects or personal projects involving system-level programming

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"SOFTWARE ENGINEER II","datePosted":"2025-09-23","description":"

Are you interested in developing cloud services that protect Microsoft and its customers from malware and phishing The Sonar team builds scalable, robust APIs and distributed cloud solutions for content analysis across multiple platforms. Our detonation platform, relied on by services like Office 365 and Azure Sentinel, offers low-latency, accurate threat detection using dynamic analysis and machine learning. We value diversity, collaboration, and innovation, providing growth opportunities within a supportive and engaging environment. Join us to make an impact and advance your career.

Responsibilities

Ready to make an impact, here’s what you’ll do in our team:

Build software that’s reliable, scalable, and easy to maintain.
Make sure our services are secure, modular, monitored, and ready to perform.
Work with architects to create high-scale APIs and turn ideas into solutions.
Set strong API standards for easy integration and stability.
Write code that’s simple to test, monitor, and deploy.
Improve monitoring and add self-healing so our systems stay strong.
Boost test coverage and quickly solve any service issues.
Work with partners to make onboarding smooth.
Promote top-notch engineering practices and always look to improve.
Plan for growth, tune performance, and make sure we’re ready for new challenges.
Help with on-call shifts and use feedback from incidents to upgrade our services.

Qualifications

Required Qualifications:

BS or MS in Computer Science or equivalent
3+ years software development experience
Excellent design, problem solving and communication skills
Professional experience building, shipping and maintaining cloud services on Azure, AWS, Google Cloud or similar

Preferred Qualifications:

Design, development and deployment of highly maintainable backend distributed systems/services and APIs
Proficient in C#, .NET Core, or Java, with a strong emphasis on designing and building RESTful APIs and gRPC services.
Deep understanding of API design best practices, including versioning, rate limiting, throttling, and documentation standards.
Proficient with security practices, including OAuth2, JWT, and AAD integration for API protection.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning, strong Python skills, and a desire to grow in a dynamic and often ambiguous environment. You’ll work closely with product managers, data scientists, and engineers to rapidly prototype, test, and deploy ML-driven features and pipelines.

What You’Ll Do

Collaborate in an agile team to develop and deploy ML models and data pipelines.
Translate loosely defined business or customer requirements into practical ML solutions.
Be creative and proactive in shaping solutions that solve real-world problems.
Build, test, and optimize scalable Python-based systems for training and inference.
Work with structured and unstructured data (e.g., tabular, text, image).
Participate in sprint planning, daily stand-ups, and reviews.
Own and maintain parts of the codebase and contribute to improving engineering best practices.

Qualifications

What We’re Looking For

2–4 years of experience in software engineering or ML engineering roles.
Strong Python programming skills with experience in ML frameworks like scikit-learn, TensorFlow, or PyTorch.
Proficiency with data handling libraries (e.g., pandas, NumPy) and tools like Jupyter.
Ability to take customer or business requirements and creatively turn them into technical solutions.
Exposure to common ML workflows: data cleaning, feature engineering, model evaluation.
Comfortable working in a fast-paced, agile environment with changing priorities and some ambiguity.
Good communication and collaboration skills; you’re proactive and not afraid to ask questions.
Familiarity with version control (e.g., Git) and containerization (e.g., Docker).
Experience with cloud platforms (AWS, GCP, or Azure) and basic understanding of MLOps practices.
Exposure to CI/CD workflows and tools like MLflow or model serving frameworks.
Ability to build lightweight APIs (e.g., FastAPI, Flask) to expose models is a plus.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

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Company Description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market

Qualifications

Basic Qualifications

Bachelor's degree or related practical experience
2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.

Preferred Qualifications

Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
Understanding of standard programming and software engineering practices
Proven track record of publishing at academic and industry venues
Ability and eagerness to program

Suggested Skills

Machine Learning
Generative-AI
Large Language Models

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Additional Information

India Disability Policy

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates 

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

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Job Responsibilities:

Participate actively in requirements discussions and discuss technical aspects, thereby helping the team develop a good understanding of detailed functional and non-functional requirements.
Ensure on-time and high-quality delivery of software by working independently and productively, developing complex features, and debugging and fixing complex bugs.
Assist Tech Lead with analyzing defects and the impact of required code changes and discuss impact with testers.
Follow all applicable software engineering processes and complete necessary documentation.
Assist Tech Lead with planning and ensuring successful code integration across various layers of the application.
Assist Tech Lead with high level design and other technical documentation.
Perform code refactoring under guidance.
Actively participate in sprint planning, daily stand-ups, sprint demos, and retrospectives.
Develop a T-shaped technical skillset by undergoing appropriate trainings and courses and attending relevant industry events.
Follow all applicable company policies.
Adhere to Cytel’s values and acquire the competencies required to succeed in your job.

Qualifications:

Education:

Bachelor’s or Master’s degree in Computer Science & Engineering (CSE) or equivalent STEM degree are preferred; however, experienced candidates from other disciplines with strong software development skills may also be considered.

Experience And Skills:

3 to 5 years of experience (2 yrs React exp and 1+ yr C#) in developing desktop apps or web apps
In case of web development, experience using technologies like React, Angular, or .NET Core with C# (any one of these) preferred
In case of prior web development experience, strong knowledge of web development using HTML, CSS, JavaScript required
For back-end developers, basic knowledge of databases (e.g., PostgreSQL) required
Experience of code reviews, knowledge of strong coding practices, and experience of using Cytel’s standard development tools (Jira, Confluence, BitBucket / Git, Visual Studio / VS Code)
Experience working in Agile teams and knowledge of frameworks like Scrum
Quick learner with strong numerical & verbal aptitude, logical reasoning, and analytical ability
Self-driven with the ability to think creatively and solve complex problems
Strong verbal and written English communication skills

Collaborative mindset and strong interpersonal skills

","hiringOrganization":{"@type":"Organization","name":"Cytel","sameAs":"https://cytel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Software Engineer II","datePosted":"2025-09-23","description":"

Are you interested in building the next state-of-the-art AI infrastructure to fuel Microsoft's rapidly growing multi-billion online advertiser business? Are you passionate about using big data and machine learning to solve real world customer problems and delight hundreds of millions of Bing users? How about working in a fun and fast paced environment where engineers are empowered to innovate? If so, please come join our Microsoft Ads team. We engineer massively scalable streaming systems and services that form the backbone of Bing's ~$10B monetization engine, covering all aspects of online advertising such as advertiser facing demand ingestion/management/insights, preparation and transformation of huge volume of advertising data to be served, and performing low latency and high throughput online serving. Tough competition in the industry has created enormous opportunities as well as technical challenges in Big Data, Distributed Systems, and Machine Learning/Deep Learning. If you would like to tackle these challenges and be part of a winning team, we are the right place for you!

Responsibilities

Design, implement, and ship infrastructure related features related to enable ads metrics alerting, diagnostics and monitoring.
Optimize data processing pipelines and evolve architectures to maximize performance and minimize cost.
Enhance flight analysis infra to optimize CTS and add new business metrics.
Deep dive into data to find key insights that drive technical design and feature roadmaps.
Work with partner ads and Bing teams to light-up different ads scenarios, and leverage their work.
Operational support for the product to fix bugs and mitigate/resolve livesites.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#Microsoftai

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Who We Are:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

Who You Are:

Software Engineers play a key role in the design, development/configuration, unit testing, installation, and ongoing maintenance of our software platforms.

What You’Ll Do:

Work as part of a global, cross-functional technology team to develop innovative software/applications.
Contribute to projects by creating well-designed, customized, testable, efficient code for our platforms.
Write clean, maintainable, and well-documented code.
Develop, test, and deploy high-quality Java applications.
Providing ongoing support, troubleshooting, improvements, or custom enhancements to existing platforms.
If required, occasionally participate in on-call rotations and/or provide after-hours support.
Collaborate with our global teams, internal stakeholders and customers.

What You’Ll Need:

Minimum 3 years of hands-on experience in Java, J2EE, Struts/ Springs, Hibernate, Jquery, REST APIs and other related technologies.
Should have exposure to front end stacks like - JSP (JavaServer Pages), JavaScript, React.js, Angular, HTML, CSS
Good Understanding of Object-Oriented design methodologies, design patterns in Java.
Server-side java programming, JMS, Database connectivity, performance tuning, troubleshooting, multi-threaded programming,
Strong working experience in at least one database management system Oracle/SQL Server/DB2.
Should have worked in complex projects.
Excellent analytical skills and design skills
Good communication and documentation skills
Exposure to onsite-offshore working model (preferred).
Bachelor’s/Master's Degree in Computer Engineering or Information Technology.

What’S In It For You?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, PF, incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

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#Li-As2

\n\n\n\n\n\n\n\n\n\n\n\n#LI-AC1\n\n\n\n\n\n\n\n\n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Zinnia","sameAs":"https://zinnia.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"[SX/EIT-MM] Industrial AI Scientist (Ph.D, Machine Learning)","datePosted":"2025-09-23","description":"

Company Description

The Bosch Group is a leading global supplier of technology and services. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.

The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH - one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions.

Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region.

With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.

Job Description

Key Responsibilities

1. AI Leadership & Solution Design
2. Research & Innovation
3. Customer & Business Collaboration
4. Mentorship & Team Development

Lead the vision, strategy, and roadmap for Industrial AI solutions, ensuring they align with both business objectives and product direction.
Clarify complex industrial and operational requirements, engaging in direct discussions with customers and business stakeholders.
Propose AI-driven solutions that are both research-grounded and product-ready, with measurable industrial impact.
Guide teams in translating state-of-the-art AI research into scalable industrial products.
Stay at the forefront of AI advancements, with expertise in foundation models, generative AI, agentic AI, reinforcement learning, computer vision, and time-series forecasting.
Conduct original research with direct industrial relevance, contributing to peer-reviewed publications, patents, and prototypes.
Establish the organization as a leader in Industrial AI innovation through thought leadership and academic/industry engagement.
Partner with customers to understand business needs, pain points, and opportunities.
Translate business discussions into clear AI requirements and solution architectures.
Act as a trusted advisor to clients, explaining AI capabilities, limitations, and roadmap alignment in accessible business terms.
Mentor and coach researchers, data scientists, and engineers, fostering a culture of scientific rigor, creativity, and product-oriented thinking.
Provide technical direction and inspire teams to pursue innovative and impactful solutions.
Promote best practices in research methodology, experimentation, and industrial AI deployment.

Qualifications

PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field, with specialization in industrial AI.
7+ years of experience in AI/ML research, solution design, or applied industrial AI.
Proven track record of research excellence (peer-reviewed publications, patents, or industry-leading innovation).
Deep expertise in machine learning, deep learning, computer vision, time-series forecasting, and generative AI.
Strong ability to engage with customers, clarify requirements, and shape AI solutions aligned with business goals.
Excellent leadership, mentorship, and communication skills, with the ability to influence both technical and business stakeholders.
Up-to-date knowledge of state-of-the-art AI research and industrial applications.
Play as AI Expert role and provide AI relevant solution architects to all Bosch GBs even if customer outside Bosch in multi market especially ASEAN market on AI problems/use cases to bring excellent operational efficiency in our GB partners’ daily work and customer experience.

Additional Information

Why Bosch?

Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work.

Benefits and Career Opportunities

Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
Join in a dynamic and fast-growing global company (English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world
Onsite opportunities: short-term and long-term assignments in worldwide offices
Engage in our diverse training programs which surely help strengthen both your personal and professionalism
13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% offered salary and mandatory social insurances in 2-month probation
15++ days of annual leave + 1-day of birthday leave
Premium health insurance for employee and 02 family members
Flexible working time and working model
Lunch and parking allowance
Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

","hiringOrganization":{"@type":"Organization","name":"Bosch Group","sameAs":"https://www.bosch.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ho Chi Minh, Vietnam","addressCountry":"Vietnam","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Machine Learning Engineer - Intern","datePosted":"2025-09-23","description":"We Make a Future Classic Product!
채널톡은 기업의 지속가능한 성장을 돕는 ‘올인원 AI 메신저’입니다. 고객과 언제 어디서나 대화할 수 있는 환경을 만들어 비즈니스의 방향성을 고객으로부터 찾을 수 있도록 돕고 있어요.
현재 '고객이 답이다'라는 철학으로 고객사의 고객 소통 경험을 변화시키고 있습니다. CRM 데이터 기반의 상담 경험 설계와 AI를 통한 반복 문의를 빠르게 처리해 CS 효율화부터 고객 경험 개선까지 채널톡 하나로 해결해요.
수많은 온라인 비즈니스의 본질적인 문제를 풀어낸 결과 한국 너머의 시장에서도 빠르게 성장하고 있습니다. 일본 시장에서 점유율 20% 이상으로 업계 1위와 매출 성장세도 B2B 업체 중 아시아에서 가장 빠른 수준이에요. 아시아에서 인정받은 제품력을 발판 삼아 글로벌 SaaS 기업으로 거듭나고자 미국 시장에 적극 진출하고 있습니다.
채널톡 출시 이후 이와 같은 성과를 거둘 수 있었던 핵심은 ‘제품’입니다. 좋은 제품이 최고의 세일즈, 마케팅이라고 믿습니다. 채널팀 전체 임직원 중 절반 이상이 개발자로 이들 모두가 단 하나의 제품을 만드는데 집중합니다. 구글 검색, 아이폰처럼 한 세대를 상징할 “미래의 클래식” 프로덕트를 목표로 최고의 인재들과 함께합니다.
하고 싶은 일이 참 많습니다! 많이 기대되는 앞으로의 여정 가운데 함께할 채널톡의 Machine Learning Engineer - Intern을 찾습니다!
[채널팀이 더욱 궁금하다면?🧐]🏡 홈페이지💡블로그🖥 유튜브💌 인스타그램\n

어떤 기회가 있나요?🚀

상담 문제를 넘어, 비즈니스 전반에서 AI 기술로 고객의 문제를 해결하는 과정을 end-to-end로 경험할 수 있습니다.
채팅 및 음성 기반의 상담봇 시스템에 필요한 기반 기술 연구를 직접 주도적으로 하실 수 있습니다.
데이터셋 및 학습된 모델 공개 등으로 오픈 소스 커뮤니티에 기여할 수 있습니다.
최신 LLM 기반 음성 모델 연구에 참여할 수 있습니다.

어떤 업무를 담당하나요?🤔

상담 에이전트 서비스 (ALF) 개선
텍스트, 오디오 등 도메인의 특성에 맞게 최적화된 에이전트 구현
단순 질의응답이 아닌 다양한 태스크를 수행할 수 있는 에이전트 워크플로우 개선
Context engineering을 통한 에이전트 성능 개선
상담 에이전트 평가용 내부 벤치마크 구축 및 개선

데이터 전처리 파이프라인 구축 및 학습
다양한 소스로부터 주어진 문제에 적합한 데이터 수집 및 퀄리티 관리
모델 및 파이프라인 최적화로 효율적인 전처리 파이프라인 구축 (Ray 기반 분산처리, inference acceleration)
다양한 데이터 레시피로 LLM 및 Flow Matching 기반 모델 학습 실험 수행

어떤 경력과 역량이 필요한가요?📖

컴퓨터 과학, 전자공학, 수학, 통계학 등 해당 포지션과 관련된 전공의 학사 이상의 학위를 가지고 계신 분
LLM 모델에 대한 구체적인 이해 및 실제 학습 경험
목표에 맞는 데이터 구축 및 학습 레시피 구축 경험
모호한 상황에서의 문제 정의, 액션 아이템 도출, 실행 및 평가 등 문제 해결 파이프라인을 반복적으로 빠르게 수행하실 수 있는 분
Python 및 LLM 개발 관련 Library나 Platform(PyTorch, Hugging Face) 활용 능력을 갖추신 분

이런 점이 있으면 더 좋아요😊

관련 전공 석사 이상의 학위를 가지고 계신 분
대량의 데이터셋을 수집하고 정제한 경험이 있으신 분
AI 주제의 논문을 작성해보시거나 오픈소스 및 경진대회 활동 경력이 있으신 분
LLM 기반 AI 에이전트를 Production 레벨에서 구현/배포/운영해본 경험이 있으신 분

어떤 방식으로 채용하나요?🏃

일반적으로 서류 제출 - 1차 인터뷰 - 2차 인터뷰 순서로 진행됩니다.
제출하신 서류를 통해 팀에 필요한 기본적인 문제해결 역량을 가지신 분인지 확인합니다. 지금까지 진행하셨던 프로젝트들과 도전 과제들을 어떻게 해결하셨는지 적어주시면 많은 도움이 됩니다.
1차 인터뷰는 1시간 소요되며, 수행하셨던 프로젝트에 대한 내용을 발표하고 관련 질의응답을 진행하게 됩니다. 지원자의 창의적인 문제 해결 능력을 확인하는 데에 중점을 둡니다. 결과 뿐만 아니라 문제를 해결해가는 과정 자체도 중요하게 평가합니다.
2차 인터뷰는 1시간 소요됩니다. 채널과 핏이 잘 맞는 분인지 알기 위해 편안하게 서로 질문을 할 수 있는 시간을 갖게 됩니다.
채용 프로세스는 과제나 면접 결과에 따라 면접 절차를 유동적으로 조정될 수 있습니다.

[아래의 개인정보 처리방침에 동의하고 입사지원하시는 경우 지원자의 개인정보는 다음과 같이 국외이전 됨을 확인하고 동의 합니다.]- 이전받는 자 및 이전 되는 국가 : Lever / 미국- 이전되는 개인정보 항목 : 이름, 이메일, 연락처 및 관련서류- 이전목적 및 보유기간 : 채용절차 진행 / 2년**개인정보 국외이전에 동의하지 않을 수 있으나 최종 입사지원서 제출이 불가하며, 지원하기를 누르시면 동의함으로 간주합니다.","hiringOrganization":{"@type":"Organization","name":"Channel Talk","sameAs":"https://channel.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"서울 강남구 논현로 508, GS강남타워","addressCountry":"South Korea","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Software Engineer II - Windows Cloud","datePosted":"2025-09-23","description":"

Join the Windows Cloud Experiences team and help shape the future of remote desktop technology for the web. As part of the Windows + Devices organization, our team is dedicated to building innovative, cloud-powered solutions that redefine how users connect and collaborate from anywhere. 

The Windows Cloud Experiences team is seeking a Software Engineer II who is passionate about exploring new technologies, writing high-quality code, and driving engineering excellence. In this role, you’ll contribute to rapid, iterative releases and have the opportunity to innovate across multiple areas of our product. Our team values smart, motivated engineers who bring a positive attitude, a growth mindset, and the ability to turn ambiguity into impactful solutions for our customers.

Product:

Drive the Future of Remote Work: Join a team at the forefront of delivering seamless, secure, and high-performance remote desktop experiences directly in the browser, empowering users to access Windows desktops and apps from anywhere, on any device.
Cloud-Powered Windows Experiences: Contribute to the next generation of cloud-integrated Windows solutions, leveraging Azure and Microsoft 365 to enable scalable, resilient, and enterprise-grade remote desktop services.
Cutting-Edge Technologies: Work with a modern tech stack including C++, C# .net, JavaScript/TypeScript, FAST and React, while developing deep expertise in developing scalable native client applications for Windows.
End-to-End Product Ownership: Collaborate across architecture, development, deployment, and Live Site operations, ensuring robust telemetry, proactive monitoring, and rapid incident response for a global user base.
Agile and Impactful Delivery: Operate in a fast-paced, iterative environment with short release cycles, where innovation and customer impact are prioritized, and every engineer has the opportunity to shape product direction.

Learn More:

Learn: https://learn.microsoft.com/en-us/windows-app/overview
Video: https://youtu.be/j0XU59VbKOc

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We foster a culture of respect, integrity, and accountability, where inclusion and collaboration fuel innovation, and where your work can have real, global impact.

Responsibilities

Collaborate with engineers, Product Managers, and designers to deliver seamless, secure, and high-performance remote desktop experiences for the Windows platform.
Influence product direction by contributing to strategy, engineering standards, and best practices that drive innovation and reliability.
Design and develop secure, distributed, scalable, and resilient native remote desktop client applications using modern technologies.
Own the full software development lifecycle, from architecture and implementation to deployment and Live Site operations.
Embrace agile practices and a DevOps mindset, focusing on rapid iteration, telemetry-driven development, and proactive monitoring.
Prototype and validate new features quickly, using customer feedback and telemetry to guide improvements.
Troubleshoot and resolve complex technical issues related to Windows OS integration and client-side functionalities.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
2+ years of experience as a software engineer designing, implementing, and shipping cloud services or software products.
2+ years OOP (object-oriented) development experience with proficiency in at least one of OOP languages: C++/C#/Java.
OR equivalent experience.

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Exposure to COM, WinRT, NT Services, and Windows OS development is a plus.
Expertise in modern C++ and/or C# .net.
Expertise in modern web frameworks like React or Microsoft FAST.
Experience with live site engineering, telemetry, and collaboration across multiple components and teams.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for this role on an ongoing basis.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#Windows365

#Avd

#Remotedesktop

#Vdi

#W+Djobs

#Gta

#Wcxclients

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning/Computer Vision","datePosted":"2025-09-23","description":"

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Our Perception team builds the system that \"sees\" the world around the self-driving car. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.

In this hybrid role, you will report to a Technical Lead Manager.

You Will:

Apply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, semantic segmentation, road understanding, and future prediction
Create foundation scale data sets and training recipes, build generalizing model and robustify against adversarial conditions (like sensor degradation)
Develop data mining, labeling, training and evaluation pipelines and develop automated data collection/model update flywheels

You Have:

Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
3+ years experience in Computer Vision and/or Machine Learning
Experience with Python

We Prefer:

MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
Experience with C++

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range$170,000—$216,000 USD","hiringOrganization":{"@type":"Organization","name":"Waymo","sameAs":"https://waymo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA; San Francisco, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Machine Learning/Computer Vision","datePosted":"2025-09-23","description":"

In this hybrid role, you will report to a Technical Lead Manager.

You Will:

Apply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, semantic segmentation, road understanding, and future prediction
Create foundation scale data sets and training recipes, build generalizing model and robustify against adversarial conditions (like sensor degradation)
Develop data mining, labeling, training and evaluation pipelines and develop automated data collection/model update flywheels

You Have:

Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
5+ years experience in Computer Vision and/or Machine Learning
Experience with Python

We Prefer:

MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
Experience with C++

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range$204,000—$259,000 USD","hiringOrganization":{"@type":"Organization","name":"Waymo","sameAs":"https://waymo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA; San Francisco, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Machine Learning Associate Advisor - HIH - Evernorth","datePosted":"2025-09-23","description":"

Machine Learning Associate Advisor

About Evernorth:

Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don’t, won’t or can’t.

Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

We are always looking upward. And that starts with finding the right talent to help us get there.

Position Overview

The Pharmacy Benefit Services+ Technology organization is seeking a Machine Learning Associate Advisor to join our team. This Band 3 Contributor role is a key part of the group, driving innovation and operational excellence across the enterprise.

In this role, you will lead the development of intelligent, automated systems that streamline the Software Development Lifecycle (SDLC) by enabling scalable, low-maintenance solutions and accelerating solution adoption. A primary deliverable includes a self-service onboarding kit that empowers users—regardless of technical expertise—to begin using the solution within minutes, with zero coding and no ongoing maintenance required.

You will operate within a high-performance, high-frequency enterprise technology environment, collaborating closely with IT leadership and cross-functional teams to design reusable, adaptable solutions. Your focus will be on reducing redundancy, promoting reusability, and upholding high standards of engineering excellence.

Your solutions will be designed for broad adoption across multiple stakeholder groups, including developers, end-to-end testers, business analysts, and operations teams. By enabling shared tooling and consistent automation frameworks, you will foster greater collaboration, reduce the creation of duplicate or siloed products, and improve the overall quality and consistency of enterprise systems.

Responsibilities

Lead the design and implementation of intelligent automation solutions that streamline the Software Development Lifecycle (SDLC), from development through testing and deployment.
Provide comprehensive consultation to business units, IT management, and technical teams on all aspects of application development, testing, and automation across diverse environments.
Develop self-service onboarding kits and reusable frameworks that enable rapid adoption by users with varying technical backgrounds, requiring no additional coding or maintenance.
Offer architectural leadership and AI/ML guidance, ensuring alignment with enterprise technology strategy and long-term scalability.
Conduct in-depth research to identify and recommend efficient, cost-effective, and scalable AI/ML automation solutions across the SDLC—including test data generation, code/test case/script generation, root cause analysis, and predictive analytics.
Collaborate with cross-functional stakeholders—developers, testers, business analysts, and operations teams—to ensure solutions are adaptable, reusable, and reduce duplication across the enterprise.
Enhance quality assurance through intelligent validation, monitoring, and automation strategies that support both functional and non-functional testing.
Increase developer productivity by automating repetitive tasks and integrating intelligent tooling into development workflows.
Accelerate speed to market by enabling faster, more reliable delivery of features through CI/CD and DevOps practices.
Demonstrate industry-leading technical expertise to improve product quality and optimize day-to-day engineering operations.
Understand and manage upstream/downstream impacts across front-end and back-end architectural modules.
Use heat matrices and analytics to prioritize quality and development engineering resources on high-impact areas while identifying lower-priority zones.
Proactively monitor and manage automation solutions to ensure scalability, stability, flexibility, simplicity, performance, availability, security, and capacity.
Troubleshoot and optimize automation artifacts for seamless execution in CI/CD pipelines and local environments, minimizing dependency conflicts and reducing cycle time.
Drive adoption of automation solutions across teams, ensuring they are low-maintenance, enhancement-ready, and require no deep technical intervention.
Promote a culture of automation, encouraging teams to adopt automated processes wherever feasible.
Serve as a recognized subject matter expert (SME) in AI/ML-driven automation and enterprise engineering practices.

Qualifications

Required Skills:

Foundations in Machine Learning and Deep Learning: Strong understanding of algorithms, neural networks, supervised and unsupervised learning, and experience with frameworks such as TensorFlow, PyTorch, and Keras.
Generative AI: Practical knowledge of generative AI techniques and architectures, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers for tasks such as content generation, summarization, and synthetic data creation.
Natural Language Processing (NLP): Proficiency in NLP techniques and libraries such as spaCy, NLTK, and Hugging Face Transformers for tasks like text generation, classification, and conversational AI.
Prompt Engineering & Fine-Tuning: Basic understanding of prompt engineering, fine-tuning of large language models, and Retrieval-Augmented Generation (RAG) for domain-specific applications.
Model Deployment: Experience deploying models using TensorFlow Serving, TorchServe, or cloud-based platforms like AWS SageMaker and Google AI Platform.
Programming Expertise: Strong foundation in Python and practical experience applying it in AI/ML workflows to transition from traditional development to agile, innovation-driven solutions.
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes/OpenShift for packaging and managing scalable applications.
CI/CD Pipelines: Knowledge of continuous integration and deployment practices, tools, and automation strategies.
Security Best Practices: Understanding of security principles including Identity and Access Management (IAM), encryption, and network security to ensure safe deployment of AI/ML solutions.
Cloud Services: Familiarity with cloud platforms such as AWS, Google Cloud, and Azure for deploying, managing, and scaling applications and machine learning models.

Required Experience & Education:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
8+ years of experience in software engineering, automation, or machine learning within enterprise environments.
Strong programming skills in Python or similar languages, with experience in building scalable automation solutions.
Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and automation tools.
Proven ability to design and implement end-to-end solutions that integrate across development, testing, and operational environments.
Solid understanding of CI/CD pipelines, DevOps practices, and SDLC methodologies.
Demonstrated ability to consult and collaborate with cross-functional teams including business, operations, and IT leadership.

Desired Experience:

Proven experience leading or contributing to enterprise-scale AI/ML automation initiatives across the full Software Development Lifecycle (SDLC).
Demonstrated success in designing and deploying self-service, low-maintenance automation solutions adopted by cross-functional teams including development, QA, business, and operations.
Experience working in Agile environments with a strong understanding of DevOps principles and CI/CD integration.
Hands-on experience with implementing Generative AI solutions in real-world applications, including content generation, summarization, or intelligent test automation.
Track record of reducing product duplication and improving system quality through reusable architecture and shared tooling.
Experience collaborating with architecture, security, and infrastructure teams to ensure scalable, secure, and compliant solution delivery.
Familiarity with enterprise environments involving hybrid cloud infrastructure, container orchestration, and secure data pipelines.
Strong communication and leadership skills, with the ability to influence stakeholders and drive adoption of innovative technologies across diverse teams.

Location & Hours of Work

Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

","hiringOrganization":{"@type":"Organization","name":"The Cigna Group","sameAs":"https://www.thecignagroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"HIH - Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Software Engineer II - Business Intelligence","datePosted":"2025-09-23","description":"

Application Close Date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! 

This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable.

This role supports the development and operations of New Glenn, a heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable. As a business intelligence software engineer, you will help build tools that improve New Glenn’s ability to deliver on schedule, successfully fly payloads, and maintain cost discipline.

Engineering, supply chain, manufacturing, and operations all rely on consistent, trusted, and timely data to make quick, accurate decisions. The size and complexity of New Glenn make this a daily change. By analyzing, developing, and scaling data solutions, you will reduce inefficiencies caused by ad hoc or fragmented data handling between disparate systems. As one of the principal data stewards in New Glenn, you will establish and enforce data quality rules, ensuring consistency in part numbers, suppliers, BOMs, and program metadata.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Minimum Qualifications:

Acquire a comprehensive understanding of the material resources planning tool, including its functionalities, limitations, and how it supports the different stages of the hardware lifecycle.
Identify gaps with the current version of the tool and engage with users to determine their specific needs.
Leverage the above to formulate and prioritize the tool requirements.
Develop a comprehensive plan for tool upgrades, prioritizing tasks and including a roadmap that outlines near-term and long-term goals.
Perform necessary coding and testing to upgrade the tool.
Compile the necessary documentation and training material for end users.
Roll out new revisions of the tool, update documentation, and provide training to the team.
Regularly coordinate with the tool owner and key partners to provide progress updates and receive feedback on the creative direction of the tool.
Enable scale by providing a foundation for AI implementation and advanced analytics.

Preferred Qualifications:

Proficient with SQL, Python, and Power Query. Familiarity with VBA is a plus.
An understanding of production systems and configuration management (eBOM, mBOM, aBOM)
Prior experience analyzing large sets of data and tracking hardware throughout all stages of a part's lifecycle is a plus.
Passion for innovation and problem-solving.
Ability to work effectively under pressure and within tight deadlines.
Strong attention to detail and organizational skills.
Degree in Computer Science, Data Science, or related field, or equivalent work experience. We also welcome candidates with a strong background in a technical field and a demonstrated ability to learn new technologies quickly.

Compensation Range For:

WA applicants is $121,323.00-$169,852.20

Other site ranges may differ

Culture Statement

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Background Check

Required for all positions: Blue’s Standard Background Check
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

California Applicant Privacy Notice

If you are a California resident, please reference the CA Applicant Privacy Notice here.

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About The Role:

Grade Level (For Internal Use):

About The Role:

We are seeking a Lead Machine Learning and MLOps Engineer focused on Generative AI to join our ML team within the Data Science Center of Excellence at S&P Global. In this role, you will lead engineering activities to build production-grade generative AI solutions and play a pivotal role in implementing machine learning engineering operations to ensure seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team:

You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering. Your contributions will be critical in engineering and developing solutions for ML operations, supporting S&P’s AI-driven transformation to drive value both internally and for our customers. This role presents a unique opportunity for ML/MLOps engineers to advance in their career journey.

Responsibilities And Impact:

Lead ML Engineering to architect, build, and deploy production-grade generative AI services and solutions.
Work on large-scale distributed systems, including infrastructure, data ingestion platforms, relational and non-relational databases, microservices, orchestration services, and more.
Oversee MLOps platform development and automated pipelines focused on deploying, monitoring, and maintaining models in production environments, ensuring model governance and optimizing cost and performance.
Collaborate with cross-functional teams to integrate machine learning models into production systems.
Create and manage documentation and knowledge base, including development best practices and MLOps processes and procedures.
Work closely with technology teams in the development and implementation of an enterprise AI platform..

What We’Re Looking For:

Basic Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
5 years of progressive experience in machine learning, data analytics, or similar roles.
5 years of relevant experience in:
Writing production-level, scalable code.
MLOps, machine learning engineering, big data, or a related role.
Working with relational and non-relational databases, data processing frameworks, and data orchestration.
Containerization, cloud platforms, CI/CD, and workflow orchestration.
Distributed systems programming and AI/ML solutions architecture.

Additional Preferred Qualifications:

2-3 years of experience operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions.
Experience contributing to research projects or participating in data science competitions.
6-12 months of experience working with generative AI use cases and relevant engineering practices.

About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit www.spglobal.com/ratings

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

-----------------------------------------------------------

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

-----------------------------------------------------------

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Location: Remote (China-based candidates preferred)
Company: ImagineArt (Vyro)

As part of our research team, you’ll work closely with leading scientists and engineers to publish high-impact research, push the boundaries of generative AI, and translate cutting-edge techniques into real-world applications.

Key Responsibilities

Conduct applied research in computer vision, image/video generation, and multimodal architectures.
Design, train, and optimize large-scale diffusion, transformer, and generative models.
Collaborate with cross-functional teams to integrate research into production.
Contribute to academic publications, patents, and open-source projects.
Stay ahead of emerging research in foundational models, diffusion techniques, and multimodal learning.

Required Qualifications

Currently a PhD student, Postdoc, or recent PhD graduate in Computer Science, AI, Machine Learning, or related fields.
Proven experience in computer vision, generative models, and video/image architectures.
Strong publication record in top-tier AI/ML conferences (CVPR, NeurIPS, ICML, ICLR, ICCV, AAAI, etc.).
Hands-on expertise with deep learning frameworks (PyTorch, TensorFlow, JAX).
Familiarity with large-scale training, distributed computing, and GPU acceleration.
Strong coding skills in Python and experience with model optimization.

Preferred Background

Previous or current affiliation with leading AI research labs/teams in China such as Tencent, Alibaba DAMO Academy, ByteDance AI Lab, Huawei Noah’s Ark Lab, Baidu Research, or similar.
Experience in multimodal learning (vision + language) or diffusion-based architectures.
Contributions to open-source AI projects.

","hiringOrganization":{"@type":"Organization","name":"Vyro","sameAs":"https://vyro.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"China, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Machine Learning Intern","datePosted":"2025-09-23","description":"Machine Learning InternThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products.
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling.
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency.
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases.
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments.
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies.
Write clear, maintainable code and create comprehensive documentation for ML models and processes.
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings.
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations.

Education And Experience Required:

Enrolled in University.
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Service And Support Planning {+ 6 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let'S Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#singapore#interns

Job:

Administration

Job Level:

N/A

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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Job Description:

Responsibilities for the Software Engineer II

Develop software solutions and deliver product enhancements
Troubleshoot software applications, provide technical support to achieve development objectives.
Participate in the design and development of complex web-based EHR systems.
Ensure the best practices in software design and coding standards are followed.
Collaborate with cross-functional teams to define technical requirements and ensure timely delivery of software solutions.
Participate in Agile/Scrum methodologies, including sprint planning, backlog grooming, and retrospective meetings.
Stay updated with emerging technologies, industry trends, and best practices, and contribute to the continuous improvement of the development process.

Qualifications of the Software Engineer II

Bachelor's degree required (computer science, information systems, business administration or other industry-related curriculum)
5+ or more years as full stack developer along with experience in web applications, end-user applications and back-end services

Technical Skills of the Software Engineer II

Experience with configuring and troubleshooting high volume HL7 v2 data interfaces including converting ADT, CCDA, SIU, ORU, RDS, VXU medical records to FHIR HL7 Standards
Must possess strong analytical, technical, and troubleshooting skills to resolve complex HL7 interface issues as they arise
Experience providing software troubleshooting and enhancements to existing system and applications.
Experience developing RESTful APIs (or equivalent)
Experience with Agile methodologies
Source control management, preferably git
Secure Coding Practices
Languages: .NET, C#, JavaScript, SQL
Frameworks: MVC, .NET Entity Framework, Angular (or equivalent frontend frameworks)
Databases: MS SQL, DynamoDB (or other NoSQL DB)
Cloud : AWS (or equivalent cloud frameworks)
Cloud-hosted, scalable SaaS systems
Experience working with industry leading HL7 interface engines such as Mirth, QVera, Rhapsody or equivalent

Knowledge, Skills, and Abilities of the Software Engineer II

Customer focused, driven to help our customers
Keen sense of priority and urgency
Passionately committed to engineering best practices
Self-learner and problem solver
Accountability And Ownership

Qualifacts is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

Qualifacts is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

","hiringOrganization":{"@type":"Organization","name":"Qualifacts","sameAs":"https://www.qualifacts.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vadodara, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Data Scientist, Data and Machine Learning, WWPS US Federal","datePosted":"2025-09-23","description":"Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.

At AWS, we're hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains.

In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS's AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.

This position is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

10040

Key job responsibilities
As a Data Scientist, you will:
- Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real world challenges.
- Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures.
- Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
- This position may require up to 25% local travel.

About the team
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
- 3+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and building models within SIGINT/Cyber operational constraints.
- Professional experience applying data science within Intelligence Community production chains.
- Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
- Current, active US government Security Clearance of TS/SCI with Polygraph.

Preferred Qualifications

- Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet).
- Experience building applications leveraging GenAI.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW.

Job Summary

The Senior Software Engineer II supports business solutions. The purpose of this role is to develop business software solutions for complex and large-scale projects through object and data modeling, database design, programming, quality assurance, and implementation support. The SR Software Engineer II participates in application standards development and serves as an evangelist for best practices.

What You Will Do:

Manage all stages of the software development life cycle, including self-management for smaller projects and technical leadership for all project sizes.
Work with project managers to determine operating requirements, costs, and resource needs for projects.
Co-lead with Project Manager to employ object-oriented analysis and design techniques, ensuring business requirements and design goals are met.
Participate in application architecture planning to determine optimal solution architecture, efficiency, maintainability, and scalability.
Lead in developing high-level system narratives, storyboards, user interface prototypes, detailed design specifications for hardware and software, system test plans, and detailed estimates for projects.
Develop applications adhering to CDW coding standards and quality.
Identify and resolve issues based on an understanding of the business problem.
Make technical decisions to meet the design goals as per product road map and management.
Coach and monitor progress of junior members.
Draw resources to address technical issues and direct the efforts of the technical project team.
Ensure timely completion of projects/tasks as per commitments made to stakeholders and management and report project/task status to management.
Collaborate with business and project teams to gather requirements and business needs.
Monitor progress of project teams and mentor junior team members.
Step in as a team member throughout the software development process as needed.

What We Expect Of You:

Bachelor’s degree and 10 years of application development experience or 7 years at CDW, OR
14 years total Information Technology experience, to include 10 years of application development experience or 7 years at CDW.
Expertise in application development and object-oriented design.
Ability to coach, mentor, multitask, prioritize, and maintain cross-functional relationships.
Advanced knowledge of product lifecycle, methodology/frameworks, and programming techniques.
Experience in Agile methodology and CI/CD environment.
Excellent communication skills with all stakeholders, including senior leadership.
Strong organizational, planning, problem-solving skills, and attention to detail.
Proven success in facilitation, solutions implementation, and leading application development projects.
Ability to balance priorities, adapt to business needs, and meet deadlines.
Expertise in C#, JavaScript, HTML, CSS, ASP.NET MVC, RESTful Web Services, SQL Server.
Ability to perform effective code reviews and recommend automated review tools.
Expertise in MongoDB and Azure DevOps, a plus.
Experience with SOLR/Elastic Search, Python, Spark, Linux & Windows platform, and Azure/Kubernetes, a plus.
Knowledge of various machine learning techniques and their real-world pros and cons, a plus.
Ability to consider system performance requirements and lead optimization/tuning, a plus.
Pay range: $133,000 - $185,000 depending on experience and skill set
Annual bonus target of 10% subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials

We make technology work so people can do great things.    

CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.     

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Are you excited to work with a variety of products and technologies in a collaborative and supportive environment?

Do you enjoy sharing knowledge and learning with colleagues from diverse backgrounds?

About The Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About Our Team

IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity verification technology. We've built everything from the ground up and have a broad range of blue-chip customers across banking, telecommunications, government and more. We've perfected the technology locally in Australia and New Zealand and are quickly expanding into the northern hemisphere.

About The Role

Join a strong team of passionate engineers and build a world-class platform to fight identity fraud at a global scale. This position performs moderate research, design, and software development assignments within a specific software functional area or product line.

Responsibilities:

Write and review portions of detailed specifications for the development of system components of moderate complexity.

Complete simple bug fixes.
Work closely with other development team members to understand product requirements and translate them into software designs.
Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
Resolve technical issues as necessary.
Keep abreast of new technology developments.

Requirements:

Qualifications:

1+ years of Software Engineering experience
BS Engineering/Computer Science or equivalent experience required

Technical Skills:

Proficiency with data manipulation languages.
Ability to work with simple data models.
Proficiency in development languages including but not limited to: Rust, C/C++, UNIX, and .Net.
Familiarity of industry best practices — code coverage.
Basic knowledge of software development methodologies (e.g., Agile, Waterfall).
Basic knowledge of data manipulation languages.
Knowledge of data storage subsystems.
Knowledge of test-driven development.
Ability and desire to learn new processes and technologies.
Basic oral and written communications skills.

Working For You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Discounted Health plan rate and Optical Assistance
Life assurance and income protection
Option to buy additional Annual Leave days
Employee Assistance Program
Flexible Working Arrangements
Benefits for you and your family
Access to learning and development resources

We encourage individuals of all backgrounds, including but not limited to those from underrepresented groups, people living with disabilities, career changers, and candidates with non-traditional education or experience—to apply. If you require accommodations during the recruitment process, please let us know; we are committed to providing the support you need to succeed.

Learn more about the LexisNexis Risk Solutions team and how we work

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Usa Job Seekers:

EEO Know Your Rights.

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Application Close Date:

Applications will be accepted on an ongoing basis until the requisition is closed.

This role is part of the Lunar Permanence business unit, which develops Blue Origin’s Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface.

As a Ground Software Engineer in Blue Origin's Lunar Permanence program, you will help build, test, and integrate the software required for the Lunar Permanence Mission Control Centers used to fly lunar space vehicles. You will work closely with space vehicle and ground subsystem teams. You will be responsible for developing, testing, and deploying software that will enable Earth-based operators to perform mission-critical functions supporting Blue Origin operations, including flight/ground system integration and testing, mission activity planning, telemetry data processing and display, spacecraft system/health monitoring and fault detection, electronic procedures and command sequencing, and operations training.

We are looking for someone to apply their technical expertise and dedication to quality to positively impact safe human spaceflight. Passion for our mission is required!

Responsibilities include but are not limited to:

Design, implement, test, verify and deploy mission operations, safety-critical software systems, ensuring the success of the overall Ground Data System (hardware/software)
Collaborate with multidisciplinary teams, including engineers representing space vehicle systems, mission-control infrastructure, operations fields, and customers to define software requirements, architectures, and designs.
Develop rapid prototypes to prove out concepts and quantify technical risks.
Produce and contribute to documentation for software architecture, design, verification plans, user manuals and training material.
Follow software development processes that meet Blue Origin and customer-required standards to ensure software safety and reliability.
Support frequent update cycles in support of pre-flight testing, mission validation exercises and events related to operations training.
Integrate software components, build, and run unit-level and system-level tests, validate using Software-in-the-Loop and Hardware-in-the-Loop simulators, and release certified code.
Challenge why things are done a certain way and figure out ways to make things better

Minimum Qualifications:

B.S. or higher degree in Software or Engineering related field.
3+ years of software development experience
Proven software development in C++, Python, or Rust.
Familiarity with Linux environment and basic Unix system administration activities.
Passion for spaceflight and space exploration.

Desired:

Experience with build, test, package, and deployment automation
Experience with test automation, orchestration, and unit testing frameworks
Experience with and understanding of computer networking systems and protocols
Working knowledge of configuration management and source code management systems
Proven software development in 2 or more of C++, Python, and Rust.

Compensation Range For:

CO applicants is $111,213.00-$155,697.15;WA applicants is $121,323.00-$169,852.20

Other site ranges may differ

Culture Statement

Export Control Regulations

Background Check

Required for all positions: Blue’s Standard Background Check
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.

Equal Employment Opportunity

Affirmative Action and Disability Accommodation

California Applicant Privacy Notice

If you are a California resident, please reference the CA Applicant Privacy Notice here.

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The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:

Essential Responsibilities:

Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

Subsidiary:

PayPal

Travel Percent:

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging At Paypal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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Who We Are:

Job Description:

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products.
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling.
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency.
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases.
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments.
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies.
Write clear, maintainable code and create comprehensive documentation for ML models and processes.
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings.
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations.

Education And Experience Required:

Enrolled in University.
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

Unconditional Inclusion

Let'S Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#singapore#interns

Job:

Administration

Job Level:

N/A

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

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Job Summary

SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that will augment our users in their work or enable business opportunities. By enhancing our machine learning platform, you will enable us to make data-driven decisions and drive innovation across the organization. This is a 2-year contract role with an option for extension.

Job Responsibilities

Design and build scalable data platforms (including machine learning platforms) to support AI/GenAI use cases, streamline data storage, democratization, model deployment, and support feature engineering, model training, deployment, model monitoring and inference.
Develop and integrate data pipelines for continuous development, integration, testing, and scalable machine learning services.
Migrate existing data science projects to the new cloud machine learning platform.
Collaborate with data scientists and data engineers to design, implement, and integrate data pipelines.
Improve/automate existing model training, feature engineering, and evaluation pipelines, enabling the feedback loop of taking in labelled data from users/source systems for model re-training/tuning.
Design and develop CI/CD pipeline, consistent logging, tracking, and monitoring of pipelines and model performance to ensure consistent model performance and alert mechanisms for model drift.
Support data extraction and transformation for projects and users’ needs.
Review, support, improve, and run the platform, including the existing data platform/machine learning server, and environment management.
Provide support for data-related queries, extraction, and discrepancies.
Stay abreast of and analyze industry developments to identify areas of continuous improvement.

Job Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2-4 years of experience in setting up a machine learning platform, developing and deploying machine learning models and AI solutions.
Familiarity with machine learning platforms, LLM, Lang Chain.
Proficiency in Python, SQL, and modern AI/ML algorithms, with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus.
Highly driven, proactive, and a strong team player. Excellent interpersonal, written, and verbal communication skills in English. Ability to multitask effectively and handle large amounts of data.

","hiringOrganization":{"@type":"Organization","name":"SGX Group","sameAs":"https://www.sgx.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, SG","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Software Engineer II","datePosted":"2025-09-23","description":"

Business Area:

Engineering

Seniority Level:

Associate

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

We are looking for passionate software engineers for our Streaming Platform Engineering Team in Hungary. Our team is responsible for the development of Streams Messaging products of Cloudera (featuring Kafka, Schema Registry, Replication Manager and several other components related to streaming) and making it easily usable by the customers of our platform. Kafka is a general purpose distributed messaging/streaming technology designed for low latency, high throughput, massive scalability and high reliability. Kafka is the fundamental streaming technology in our platform, frequently used together with Apache Flink, Spark and NiFi to ingest, process and analyze large scale message streams.

As a software engineer, you will be collaborating with other engineers and stakeholders in Hungary, the United States and other countries around the globe.

As a Software Engineer you will…

Expertize in the Kafka ecosystem, identify improvement areas and define a roadmap to make Kafka more feature-rich, more robust and more supportable resulting in an enterprise grade distribution of Kafka for our customers
Extend monitoring, management capabilities of our platform as well as integrate with other components (like Flink, Spark, NiFi, etc.) to make Kafka robust and easy to adopt
Develop our big data and large scale streaming data processing platforms targeting on-premise, cloud and hybrid customer environments.
Analyze complex requirements, collaborate with other engineers internally and in the open source community from around the world to design and implement solutions
Focusing on both functional and non-functional aspects and deliver high-quality products using agile software development lifecycle practices
Help troubleshooting customer issues, find the root cause of complex technical problems and provide guidance to system engineers for fixing those in production systems
Help customers adopting new versions of our software
Learn continuously to build an extensive knowledge about the Kafka ecosystem, large scale stream processing technologies and become the go-to person in a wide range of questions related to the technology
Demonstrate an open, agile mindset, suggest and implement ideas to continuously improve processes used by the team in a collaborative manner

We are excited if you have…

2+ years of experience in designing, developing and testing software solutions
Expertise with Java development
Experience with cloud platforms (AWS, Azure, GCE)
Analytical mindset to be able to understand large, distributed software systems
Experience with delivery pipeline tools, CI/CD solutions, automated testing
Self-driven, proactive and motivated personality, with the ability to effectively work on loosely defined tasks
Ability to clearly communicate and present your ideas effectively to a wide audience
Ability to work independently as well as working collaboratively in a team
Excellent verbal and written communication skills in English
You might also have...
Experience with Kafka or other distributed messaging technology (e.g. RabbitMQ)
Experience in designing, implementing and debugging multithreaded and distributed systems
Experience with private cloud technologies and container platforms (Docker, Kubernetes)
Development experience with Scala and/or Python
Good understanding of the Hadoop ecosystem
Experience in open source software development
This role is not eligible for immigration sponsorship

What you can expect from us:

Generous Pto Policy
Support work life balance with Unplugged Days
Flexible Wfh Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Eeo/Vevraa

#LI-AW1

#Li-Hybrid

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We are looking for individuals who are passionate about pushing the boundaries of computer vision while also delivering efficient, production-ready models. Candidates with a strong record of open-source contributions or a demonstrable portfolio of impactful ML projects will stand out.

Key Responsibilities

Design, implement, and optimize image/video ML models for large-scale generative AI applications.
Apply advanced techniques such as quantization, pruning, fine-tuning, and model distillation to improve efficiency and performance.
Work with deployment frameworks (ONNX, TensorRT, CUDA) to enable scalable inference.
Collaborate with researchers to bridge state-of-the-art techniques with production-grade engineering.
Conduct experiments, benchmark models, and document findings.
Share insights and collaborate with the broader ML research/engineering team.
Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or related fields.
Hands-on experience with deep learning frameworks: PyTorch (preferred), TensorFlow, or JAX.
Strong background in optimization techniques (quantization, pruning, distillation, mixed precision).
Experience with deployment toolkits: ONNX, TensorRT, CUDA, or similar.

Required Qualifications

Demonstrated work in image/video model training, fine-tuning, or adaptation.
Proficiency in Python and familiarity with large-scale GPU-based training.
Experience with GGUF, ComfyUI, or other model deployment ecosystems.
Contributions to open-source computer vision or ML frameworks.
Research or industry experience with foundational/generative models (diffusion, transformers, multimodal).
Familiarity with scaling ML models in distributed systems.
Please share your GitHub profile showcasing open-source work in ML/Computer Vision.

Preferred Qualifications

Portfolio / Contribution Requirement

If unavailable, provide a portfolio of projects, research papers, or documented achievements in model development, training, or optimization.

","hiringOrganization":{"@type":"Organization","name":"Vyro","sameAs":"https://vyro.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"China, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"AI Engineer | Leadership in Machine Learning, Data Science & AI Innovation","datePosted":"2025-09-23","description":"

Overall Responsibilities:

Lead AI/ML/Data Science projects for Synechron's clients and ensure successful delivery
Mentor and guide junior AI/ML/Data Science team members
Collaborate with cross-functional teams and provide subject matter expertise in AI/ML/Data Science
Stay updated with latest AI/ML/Data Science trends and technologies
Identify and evaluate new business opportunities in AI/ML/Data Science

Skills:

Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc.
Knowledge of programming languages such as Python, R, SQL, etc.
Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc.
Excellent problem-solving skills and ability to find creative solutions to complex data science problems.
Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients

Experience:

Minimum 07 years of experience in AI/ML/Data Science, with at least 03 years in a leadership role
Proven track record of successfully delivering AI/ML/Data Science projects
Experience in mentoring and leading a team of AI/ML/Data Science professionals

Day-To-Day Activities:

Lead AI/ML/Data Science projects, ensuring successful delivery
Mentor and guide junior team members
Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science
Stay updated with latest AI/ML/Data Science trends and technologies
Identify and evaluate new business opportunities in AI/ML/Data Science

Qualification:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

Soft Skills:

Excellent leadership and team management skills
Strong interpersonal and communication skills
Ability to work in a fast-paced and dynamic environment
Good negotiation and stakeholder management skills
Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

SYnechron’S Diversity & Inclusion Statement

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

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Job Description

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Staff Machine Learning Engineer on the AI Research team, you will serve as a founding member guiding GM’s most ambitious AI initiatives. You will participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

What You’Ll Do

You will participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.
Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.
Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes
Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment
Participating in the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.
Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.
Join a high-performing team of machine learning researchers and engineers.
Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.
Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

Your Skills & Abilities (Required Qualifications)

PhD or equivalent in CS/EE
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Proven track record of leading AI projects from research to production at scale.
Strong programming skills in Python and proficiency in one or more systems languages (C++/Go/Java).
Experience deploying AI systems on cloud-based GPUs/TPUs (AWS, Azure, GCP).
Recognized thought leader in the AI/ML community with demonstrated impact (research breakthroughs, patents, or widely adopted technologies).
Exceptional ability to mentor, influence, and collaborate across technical and business teams.

What Will Give You A Competitive Edge (Preferred Qualifications)

Demonstrated expertise in developing and training multimodal foundation models
Demonstrated research impact in AI/ML technologies either through important publications in first tier conferences or demonstrated contribution to industry leading systems.

This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 198,000 to 250,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

#Li-Cx1

About Gm

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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Job Title: Summer or Fall 2026 Co-op_Intern - RNA Machine Learning - Vaccine

Location: Waltham, MA

About The Job

As an RNA Machine Learning Co-op, you will participate in a 6-month project in the areas of cheminformatics, bioinformatics, computational biology, and machine learning to the task of developing and implementing first-in-class and best-in-class computational solutions and models for screening, optimizing and evaluating RNA molecules for mRNA-based vaccines and therapeutics as part of the Data and Computational Science team in the mRNA CoE.

This team brings end-to-end data integration and advanced analytics (pre-clinical, biomarkers, process development, CMC, clinical) in the mRNA CoE. Deploying and exploiting digital solutions (AI/machine learning, data, analytics) to integrate the full data value chain, extracting actionable information for a move to a full data driven strategy and decision-making process, to increase probability of success and to accelerate mRNA vaccines and therapeutics development and launch.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities:

Collaborate with group experts in the development and execution of the scientific strategy and technical solutions to develop best-in-class mRNA vaccines and therapeutics
Execute development of a project to deliver data and computational solutions for the integration of chemical, structural, and biological data to support data analytics and visualization
Design, develop, and validate robust analytical and machine learning approaches to support in silico characterization, screening, optimization, and analysis of mRNA molecules
Collaborate internally to develop scientific hypotheses and drive new scientific insights based on computational frameworks
Develop, deploy, and assess the results of at-scale models at varying levels of model granularity encompassing heterogeneous preclinical and clinical data
Employ machine learning methods such as deep learning, neural networks, reinforcement learning, graphical, and generative models to deconvolve high dimensional experimental and in silico modeling results
Maintain a well-documented, reusable codebase, and traceable model history
Maintain awareness of latest developments in relevant fields, evaluate and apply as warranted
Demonstrate good software engineering practices
Proactively identify, assess, and internalize emerging technologies and methods

About Youbasic Qualifications:

Currently enrolled and pursuing a master’s degree or, PhD in Bioinformatics, Computational Biology, Computer science, or related quantitative disciplines at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028
Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
Experience in scientific computing (e.g., python, R)
Experience in computational and statistical analysis, quantitative modeling, and machine learning algorithms

Preferred Qualifications:

Practical experience proposing, prototyping, and deploying novel algorithms; developing and validating new models
Demonstrated record of transforming algorithms/theory into practical applications delivering robust models that are high performance, interpretable and actionable
Experience with software development good practices (code versioning, testing, etc.)
A creative problem solver, skilled in divergent thinking and turning complex data into actionable insights and knowledge
Good communication, scientific writing, and presentation skills; ability to simplify complex problems and communicate complex solutions in a simple and effective manner
Understanding of vaccine development processes is a plus, as well as familiarity with RNA processes and RNA-centric techniques/methods
Fluent In English

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Exposure to cutting-edge technologies and research methodologies.
Networking opportunities within Sanofi and the broader biotech community.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#Gd-Sp #Li-Sp

#Li-Onsite

#Vhd

Pursue Progress, Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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Grow your career. Be the difference. Leading the commercialization of ground-breaking technology that captures CO₂ directly from air is challenging and exhilarating. As a member of the CE team, you’ll be surrounded by smart, adventurous, curious people committed to progressing our Direct Air Capture (DAC) and AIR TO FUELS™ technologies. We’re a diverse team of innovators hailing from around the world with a shared vision, purpose, and commitment to deliver large scale climate change solutions. Our headquarters is in Squamish, B.C., and our presence is expanding in many other markets around the world as we commercialize our technologies

Our culture combines our heritage as a small company with our ambitious goals. We have a passion for what we do and believe our work will have a true and lasting impact on the world. Many of our employees are drawn to CE because of the direct connection between the game-changing work we do and their own personal values.

At our core, Carbon Engineering values integrity, growth, excellence in execution, and fun. This is an environment where people matter, and contributions are noticed. Our employees work hard and are given the opportunity to learn and grow from mistakes. Diversity is embraced, and we value an inclusive work environment where every employee has an equal opportunity to be heard. We work in a dynamic environment and thrive on tackling rewarding and complex problems as a team.

Position Scope

Reporting to the Senior Systems Engineer, Advanced Automation and Data Integration, the selected candidate will collaborate with the Process Systems Engineering team applying a range of tools and techniques to deliver process modelling, data analytics, advanced automation, and process intelligence solutions. The primary objective is to contribute to projects that enhance CE’s technologies and improve operations for the broader CE team.

This position is an 8 month or longer co-op term. Expected start is January 2026.
This position is on-site and based in Squamish, BC.
The work schedule follows a M-F, 40hrs/week schedule.
Relocation support is provided.
This position pays $22-26/hour.
Expected start date is January 2026.

Health, Safety And Environment:

Demonstrate a positive safety culture.
Identify, report and resolve unsafe conditions, processes or actions within the workplace.
Ensure that all safety related incidents, accidents and near misses are reported and investigated in line with company policy.

Technical Responsibilities:

Assist in the development and maintenance of a material property database using high-throughput modeling and/or existing data sources
Improve and automate data extraction pipelines to enhance efficiency and reliability
Ensure data quality and consistency across large datasets
Contribute to the development of recommendation systems for AI-guided experiments
Support efforts to reduce experimental costs and improve model accuracy through data-driven approaches
Optimize active learning workflows, including techniques such as Bayesian optimization
Collaborate with team members to refine data processing automation and integrate feedback into iterative improvements

Education And Experience

Education And Knowledge:

3rd year undergraduate student in Chemical Engineering, with coursework or experience in data analytics, statistics, machine learning, optimization, or computational modeling.

Required Technical Skills:

Hands-on experience in Python programming, preferably applying it to data analytics and machine learning tasks
Solid understanding of commonly used data analytics, statistical methods and machine learning including their purposes and applications
Familiarity with widely used machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
Knowledge of the scientific Python ecosystem (e.g., NumPy, SciPy, Pandas, Matplotlib, Seaborn)

Desirable Technical Skills:

Exposure to advanced machine learning topics such as Active Learning (AL), Autoencoders, or Generative models
Familiarity or experience with SQL and Git
Experience with commercial process simulation software such as Aspen Plus

Required Soft Skills:

Strong communication skills, both written and verbal, to effectively collaborate with team members and share ideas.
Curiosity and a willingness to learn, especially in fast-paced or evolving technical environments.
Adaptability and problem-solving mindset, with the ability to navigate ambiguity and contribute to creative solutions.
Team-oriented attitude, with a focus on collaboration, respect, and mutual support.
Time management and organizational skills, to balance multiple tasks and meet deadlines efficiently.
Attention to detail, ensuring accuracy and quality in both technical and non-technical work.

Joining Carbon Engineering provides you more than a career – it’s a calling for those who are ready to make a difference in climate action. We provide hope.

Carbon Engineering is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants are encouraged to apply and will receive equal consideration for employment regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

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Job descriptions may display in multiple languages based on your language selection.

What We Offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

As an engineering and manufacturing partner, Magna’s Complete Vehicle group helps traditional OEMs and new entrants to bring their automotive visions to life. At Magna, you will work in an innovative, international and dynamic team, always pursuing the goal of delivering high-quality products. We work in a diverse environment with global development opportunities. Together with our employees we constantly strive to create a better world of mobility.

Job Responsibilities:

Location: Graz / asap / duration 6 months

Are you currently pursuing a master’s degree with a technical focus and looking for a partner company to write your thesis?

Perfect! Magna Steyr is currently seeking a master’s student to join us in the area of Computational Fluid Dynamics (CFD) and machine learning (ML).

The aim of this master's thesis is to speed up the data preparation process for complete vehicle CFD-simulation. Data preparation is the bottleneck in current industrial CFD processes. Preparing a complete vehicle geometry for external or internal flow investigation keeps an engineer busy for several days. To speed up data preparation, a machine learning model should be developed to automate some portions of this process (e.g., mesh cleaning, part classification). You will work together with CFD engineers as well as our machine learning experts and project engineers.

The following scopes should be included in your master's thesis:

Conduct a literature review of previous works and define a schematic procedure.
Prepare a training database in ANSA. Either from historical or public data.
Research of various neural network architectures which can be considered for this application (e.g., 3D point- and mesh-based models).
Create a first model and train it with previously created dataset. Optimize model setup if necessary.
Create documentation and propose additional work to speed-up data preparation.

Who we are looking for

Ongoing technical study at the university / university of applied sciences in mechanical engineering, automotive engineering, computer science or similar.
A good understanding of Python coding and machine learning libraries (e.g., PyTorch, NumPy, TensorFlow) is essential.
Basic knowledge and experience in the field of numerics and CFD are beneficial but not mandatory.
Basics in Beta CAE Systems software package ANSA is advantageous but not necessary.
Strong interest in bringing state-of-the-art machine learning to real world industry applications.
High level of helpfulness and excellent communication skills.
Mobility offers and parking spaces - Arriving at work is easy!
Everyday employee benefits, sport events, hiking and many other activities - Exclusively for you!
Canteen, our café and shops - Our catering offers for you!
Holistic health programs and multiple on-site consulting services - Magna supports!
Sustainability Programs - Work and live responsibly!

Your Preferred Qualifications

Site Benefits

Your profile matters!
You will receive a monthly gross compensation of €700,-- for writing your master’s thesis. Depending on your education and specific professional experience, there is a corresponding willingness to overpay.

And now: It’s your turn!
We are looking forward to receiving your application. Please include your CV. As we are excited to learn more about you, please also submit a covering letter.

If you have any questions, please don’t hesitate to contact us

Katrin Prager, MSc (WU)

+43 664 8840 2839

Recruiting/Talent Attraction

Magna Steyr Fahrzeugtechnik GmbH & Co KG

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

Supplemental Worker

Group:

Magna Steyr","hiringOrganization":{"@type":"Organization","name":"Magna International","sameAs":"https://www.magna.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"LIEBENAUER HAUPTSTRASSE 317, 8041 GRAZ, AUSTRIA, Austria","addressCountry":"Austria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Data and Machine Learning, WWPS US Federal","datePosted":"2025-09-23","description":"Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.

At AWS, we're hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains.

In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS's AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.

This position is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

10040

Key job responsibilities
As a Data Scientist, you will:
- Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real world challenges.
- Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures.
- Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
- This position may require up to 25% local travel.

About the team
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
- 5+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and building models within SIGINT/Cyber operational constraints.
- Professional experience applying data science within Intelligence Community production chains.
- Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
- Current, active US government Security Clearance of TS/SCI with Polygraph.

Preferred Qualifications

- Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet).
- Experience building applications leveraging GenAI.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Overview Of The Company

Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

Job Description

Under the FOX banner, we produce and distribute content through some of the world’s most iconic and valued brands, including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We empower a diverse range of creators to imagine and deliver culturally impactful content, while fostering an environment that thrives on innovation, creativity, and strategic execution.

About The Role

We are seeking a Staff Engineer to join our Personalization & Recommendations team for Fox’s next-generation Direct-to-Consumer (DTC) streaming platform. This is a hands-on individual contributor role that also provides technical leadership and mentorship to a growing team of data scientists & backend engineers.

You will work on building and scaling recommendation systems, user personas, real-time inference services, and model experimentation frameworks that power personalized user experiences across content surfaces—such as homepage, watch-next, and search.

This role is ideal for engineers who are passionate about solving complex personalization problems at scale and enjoy both coding and leading by example.

A Snapshot Of Your Responsibilities

Build, train, and deploy personalization models using real-time and offline user behavior signals
Mentor junior data scientists and machine learning engineers in modeling techniques, experimentation, and system integration
Partner closely with Product, Data Engineering, and API teams to translate product needs into scalable ML solutions
Design and implement modular, low-latency recommendation services integrated into the streaming platform
Define and evolve best practices for model versioning, A/B testing, and feature store management
Own the end-to-end lifecycle of personalization models—from research and prototyping to production deployment
Contribute to incident management, system performance tuning, and ensure SLAs for all user-facing ML endpoints
Align with US-based teams to ensure timely execution of roadmap items, architectural consistency, and delivery velocity

What You Will Need

8+ years of experience in software engineering and machine learning, with at least 5 years focused on building personalization & recommender systems
Proven track record of building and deploying ML models for content or product personalization at scale (millions of active users, millions of product items in catalog)
Strong coding experience in Python, Scala, or Go, with exposure to modern ML and data engineering stacks
Experience working with distributed systems and streaming architectures (e.g., Kafka, Flink)
Deep understanding of ML infrastructure, including online/offline training loops, real-time inference, and deployment tools (e.g., Databricks, SageMaker, or AWS Personalize)
Experience deploying services in cloud environments such as AWS, GCP, or Azure
Familiarity with vector search engines (e.g., FAISS, Vespa) and semantic retrieval
Ability to communicate technical concepts clearly and influence architectural decisions across teams

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience with ad personalization, dynamic creative optimization, or contextual targeting
Built and scaled recommendation systems for live events or high-traffic scenarios
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) in production environments

#Ll-Kd1

#Ll-Remote

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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Job Title

Software Engineer II (DevOps)

Job Description

Job Responsibilities:

• Supports the DevOps team in automating software development processes, aiming to expedite release cycles and fortify feedback loops, fostering a more agile development environment.
• Utilizes debugging tools and techniques to troubleshoot and resolve issues in applications, infrastructure, and deployment pipelines, ensuring smooth operation of software services.
• Contributes to the development and refinement of build and deploy automation scripts, working towards the optimization of deployment workflows for increased efficiency and reliability.
• Collaborates with senior engineers to maintain the infrastructure components of the DevOps environment including servers, networks, storage, and virtualization technologies.
• Supports quality/security analysis, Continuous Integration/Continuous Deployment (CI/CD) Pipelines, assisting in the maintenance of CI/CD pipelines to automate software delivery processes.
• Assists in managing configuration files and tools to ensure consistency across different environments, participating in efforts to automate configuration changes and enforce desired state configurations.
• Works closely with SCRUM team, developers, QA engineers, and other stakeholders to understand their requirements and provide support for integrating their workflows into the DevOps pipeline.
• Assists in identifying and resolving issues related to build failures, deployment errors, infrastructure problems, and performance bottlenecks, ensuring smooth and efficient operation of software development and deployment pipelines.
• Contributes to the documentation of processes, procedures, and configurations, shares knowledge with team members, participating in knowledge sharing sessions.
• Stays abreast of industry trends and emerging technologies related to DevOps practices, tools, and methodologies, developing skills to support innovation in software development and deployment processes.
• Assists in ensuring the quality of deliverables by participating in testing activities, including automated testing, and providing feedback on the reliability and performance of the DevOps processes and tools.

Minimum required Experience:

Minimum 2 years of experience after BE/ B Tech

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.

#LI #Informatics
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

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Job Description

Software Engineer - Backend

The Zendesk Core Services Engineering team is looking for a Software Engineer with a strong command over backend languages like Ruby, and past experience with developing on Rails Framework to join them on their journey to make the Zendesk purchasing experience, one of the business' most crucial and fundamental aspects, more consistent and intuitive.

What You Will Do:

Collaborating with product managers and engineers to ensure requirements are understood and executed upon.
Follow Zendesk standards when designing, building and deploying solutions
Champion best practices, high quality code, and proper test coverage. We ship code frequently and fast, but stability and reliability must never be compromised.
Actively participate in code reviews and design discussions
Partner across all areas of the SDLC, including requirements gathering, and building services and solutions.

What you bring to the role:

2-4 years of relevant industry experience in at least one object oriented language like Ruby or Java
Experience with databases like MySQL and/or DynamoDB
Experience with CI/CD and delivery systems (Github Actions, Travis, Jenkins)
Knowledge of API design and distributed systems
Experience using Datadog or other log aggregation tools
Customer-first mentality when dealing with service incident management, data analysis, and root-cause analysis
A hunger for learning new technologies and an eagerness to grow your knowledge and capabilities
A team-first collaborative attitude that thrives in a fast-moving agile development environment
Excellent written and verbal communication skills

Bonus Skills:

Experience with JavaScript, React
Experience with JavaScript build infrastructure/tooling (Webpack, Node.js)
Experience working on SaaS-based products

Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

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About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

As a Machine Learning Intern at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.

Note To Applicants:

By applying to this role, you will be considered for multiple intern role openings across our various ML teams. Please submit only one application for the term you’re available to intern. Multiple applications may delay the process.

What You’Ll Do:

Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
Collect, analyze, and synthesize findings from data and build intelligent data-driven models
Write clean, efficient, and sustainable code
Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
Scope and independently solve moderately complex problems
Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed

What We Are Looking For:

Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Strong communicator and team player with the ability to find solutions for open-ended problems

Why Intern at Pinterest?

Meaningful Work: Contribute to projects that impact millions of users worldwide.
Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run from January 12, 2026 - April 24, 2026 in a full-time capacity during typical business hours between Monday-Friday In-Office

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration [2-3 weekdays per week] and therefore needs to be in a commutable distance from one of the following offices [Toronto].

Relocation Statement:

This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Information regarding the culture at Pinterest and benefits available for this position can be found here.

\n\n

#Li-Hybrid

#Li-Ag4

Our Commitment To Inclusion:

\nPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, CA","addressCountry":"Canada","addressRegion":"North America"}}}}]}

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