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Why Playstation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Machine Learning Engineer, Recommendation System

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems.

We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering, Product, and Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.
Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems.
Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations.
Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies.
Produce reusable code and conduct peer code reviews according to standard methodologies in Python.

You Bring:

Masters degree in CS/Statistics/Data Science, with a specialization in machine learning.
Experience with Python, and ideally also Scala or Java.
Experience in developing ML models for structured data.
Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib.
Industry experience in designing and implementing large-scale machine learning-based recommender systems.
Industry experience in A/B testing, experimentation design and test analysis.
Strong coding, machine learning, and statistical knowledge.

Preferred Qualifications:

Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins.
Familiarity with standard methodologies in large-scale DL training/Inference.
Experience in cloud-based environments, such as AWS.
Experience working with custom ML platforms.
Experience with LLM applied in recommendation systems.
Proactive self-starter with experience working in fast-paced environments.

Mid-Level Machine Learning Engineer

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You Will:

\nDesign and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.\n
\nWork with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems.\n
\nCreate metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.\n
\nCollaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations.\n
\nAnalyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies.\n
Produce reusable code and conduct peer code reviews according to standard methodologies in Python.
Masters degree in CS/Statistics/Data Science, with a specialization in machine learning.
Experience with Python, and ideally also Scala or Java.
Experience in developing ML models for structured data.
Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib.
Industry experience in designing and implementing large-scale machine learning-based recommender systems.
Industry experience in A/B testing, experimentation design and test analysis.
Strong coding, machine learning, and statistical knowledge.

You Bring:

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Preferred Qualifications:

Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins.
Familiarity with standard methodologies in large-scale DL training/Inference.
Experience in cloud-based environments, such as AWS.
Experience working with custom ML platforms.
Experience with LLM applied in recommendation systems.
Proactive self-starter with experience working in fast-paced environments.

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Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental, trade union membership or membership in any other legally protected category.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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About Definitive Healthcare:

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

We’re headquartered in Framingham, Massachusetts, but we have 3 office locations globally, including locations in Sweden, and India. We’ve grown significantly since our founding in 2011 and have expanded our global client base to 2,400+.

We’re also a great place to work. In 2024, we brought home a number of awards including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and we were recognized as a Great Place to Work in India.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

We are looking for a Senior Machine Learning Engineer to lead the design and implementation of cutting-edge AI/ML systems that deliver transformative business outcomes. In this role, you will take ownership of end-to-end ML solutions, from architecture and modeling to production and performance optimization.

From architecting end-to-end ML solutions to shaping technical strategy, your work will have a broad and lasting impact on customer experience and operational efficiency. The ideal candidate brings extensive experience in applied machine learning, deep software engineering expertise, and a track record of mentoring teams and delivering production-ready models at scale. This is a high-impact, full-stack ML role that blends research, engineering, and leadership, with the opportunity to shape both the company’s technical foundation and product direction.

Responsibilities:

ML Systems Development & Deployment

Lead the design and implementation of scalable, production-grade ML systems in cloud environments with a focus on performance, reliability, and reproducibility.
Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals.

Data Pipeline & Feature Engineering

Oversee the architecture and evolution of data pipelines for multi-terabyte datasets, ensuring efficiency and reliability.
Guide the development of high-impact features and label sets across diverse domains such as healthcare and consumer analytics

Experimentation & Model Management

Lead experimentation strategy, including design of A/B tests, advanced validation methods, and lifecycle management using tools like MLflow and Databricks.
Drive continual model improvement through advanced techniques such as automated retraining, model decay analysis, and bias mitigation. Innovation & Prototyping
Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques.
Lead technical explorations into new ML architectures (e.g., foundation models, causal inference, time series deep learning).

Cross-Functional Collaboration

Serve as a technical leader and trusted advisor, working closely with product, engineering, data, and executive teams to shape end-to-end ML solutions. Code Quality & Documentation
Set standards for code quality, performance, and documentation, and mentor junior engineers in best practices

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).
5+ years of industry experience as an ML Engineer, Data Scientist, or Data Engineer, with a focus on deploying and scaling ML systems.
Deep expertise in Python, SQL, and PySpark for distributed data processing, with proficiency in libraries like scikit-learn, PyTorch, and XGBoost.
Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent.
Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch).
Hands-on experience deploying models in cloud-based environments (AWS, GCP, Azure, and Databricks).
Proven ability to manage end-to-end ML lifecycles at scale, including data ingestion, training, evaluation, deployment, and monitoring.
Excellent communication skills and demonstrated ability to influence cross-functional teams.

Preferred Qualifications:

Experience working with healthcare claims, EHR, or life sciences datasets.
Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or related technical field.
Strong knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning.
Experience with deep learning architectures for time series forecasting, sequential data, or hierarchical modeling.
Proficient in designing evaluation protocols and defining performance metrics to rigorously assess model effectiveness and drive data-driven decision-making.
Comfortable operating in fast-paced, high-ownership environments, and able to prioritize multiple high-impact projects

Why we love Definitive, and why you will too!

Industry leading products
Work hard, and have fun doing it
Incredibly fast growth means limitless opportunity
Flexible and dynamic culture
Work alongside some of the most talented and dedicated teammates
Definitive Cares, our community service group, gives all of us a chance to give back
Competitive benefits package including great healthcare benefits and a 401(k) match

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What our Employees are saying about us on Glassdoor:

“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”

-Business Development Manager

“Great team. Amazing growth. Employees are treated very well.”

-Research Analyst

“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.”

-Profile Analyst

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If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter.

If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request.

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Definitive Hiring Philosophy

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply!

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Privacy
Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information.

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Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators with an @definitivehc.com email address. We will never request any money transfer or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process.

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Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

What You'Ll Be Doing:

Design and implement scalable machine learning pipelines, serving prompt engineering workflows to enhance scalability and efficiency in submission intake processes across multiple insurance use cases.
Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge.
Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability.
Build reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads, enabling rapid experimentation and seamless transition from research to production.
Champion best practices in observability, testing, and monitoring of ML systems, establishing standards for model/data drift detection, logging, and automated rollback strategies.

Who We Hope You Are:

Proven experience as a Machine Learning Engineer or similar role (at least 5 years), with a strong focus on pipelining LLM models over the last 2 years.
Proven experience in designing scalable and robust machine learning pipelines, both for classical machine learning and large language models (LLMs) along with familiarity with open-source models is a plus.
Experience in building scalable ML pipelines using tools such as Kubeflow. Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production.
Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing
Great communication skills with the ability to convey complex findings to non-technical audiences.

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$180,000 - $220,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you!

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities 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 at talent@federato.ai

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About Us

TakeUp, LLC is revolutionizing revenue optimization for hospitality with a daring approach to pricing. Using AI and machine learning, TakeUp empowers independent operators to unlock maximum revenue potential through pricing courageously—day in, day out. Seamlessly integrated with top Property Management Systems, our platform replaces traditional rate-setting constraints with data-driven confidence, delivering an impressive 10-15x ROI.

The Opportunity

We are hiring a Senior Machine Learning Engineer to focus on applied modeling for our rate optimization engine. This role is hands-on: designing, training, and deploying models that turn hotel data into reliable production outcomes. You will collaborate closely with the ML Engineering Manager, the CTO, and product partners to design modeling approaches, build pipelines, and support experiments that drive measurable revenue impact.

What You’Ll Do

Modeling

Design, train, and deploy production ML models, with emphasis on tree-based methods (XGBoost, LightGBM, CatBoost).
Contribute to feature engineering and model evaluation approaches that balance accuracy, interpretability, and speed.
Translate customer needs and product requirements into practical modeling tasks (classification, regression, ranking, uplift).
Develop custom performance metrics to evaluate models’ ability to generate reasonable counterfactual demand estimates while accounting for varying customer product expectations.
Support explainability efforts to justify rate decisions with clear artifacts and documentation.

Pipelines & Deployment

Build and maintain training and evaluation pipelines, ensuring offline metrics align with online business outcomes.
Partner with engineering to integrate models into production services and batch jobs with defined SLAs.
Contribute production ready Python and SQL code with strong testing and review practices.
Support data quality, observability, and reproducibility across the ML lifecycle.

Experimentation

Collaborate on experiment design, including A/B testing and staged rollouts.
Implement policy guardrails to ensure automated rate changes are safe and controlled.
Analyze experimental results, communicate lift and trade-offs, and document findings.

Collaboration

Work closely with product, engineering, and leadership to scope problems and propose modeling approaches.
Participate in code reviews, model reviews, and planning sessions.
Share learnings and contribute to improving team practices around modeling, metrics, and documentation.

Who You Are

4+ years of experience building and deploying ML models to production.
Proficiency in Python (scikit-learn, XGBoost/LightGBM/CatBoost).
Strong SQL skills and comfort with large, imperfect, real-world datasets.
Experience across the full model lifecycle: data preparation, feature engineering, training, evaluation, deployment, and monitoring.
Familiarity with experimentation design and metrics; able to reason about trade-offs and safeguards.
Clear communicator, comfortable working in a collaborative, fast-paced environment.

Nice To Have

Experience with causal inference (uplift modeling, causal forests, DML) or time-series modeling.
Exposure to reinforcement learning concepts (multi-armed bandits, dynamic programming, temporal-difference learning).
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt.
Familiarity with orchestration frameworks (Prefect, Airflow).
Familiarity with MLOps frameworks (Sagemaker, Vertex AI)
Domain knowledge in pricing, demand modeling, or hospitality.
Former start-up experience.

Why Takeup?

At TakeUp, we empower our team to innovate, grow, and succeed. You’ll join a passionate group of professionals who are committed to changing the way businesses run. This is mission-driven work: we’re empowering independent inns and small hotels, businesses often underserved and outgunned by enterprise competitors, with technology that levels the playing field.

Ready to take your career to the next level with a fast-growing SaaS company? Apply now and let's make an impact together!

Travel

This role is remote. While flexibility is key, we also value in-person connections. Travel may be needed for customer discovery, team building, and/or networking.

EQUAL OPPORTUNITY EMPLOYER
1848 Ventures celebrates diversity and is committed to inclusion. All qualified applicants receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, or status as a protected veteran.

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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

The Opportunity:

We are looking for a versatile, curious, and energetic Senior Machine Learning Engineer to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we thrive on solving complex challenges on a global scale! As a Senior Machine Learning Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

The Senior ML Engineer, as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.

This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

Essential Functions:

Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development including:
Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

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, or PhD)
Preferred Qualifications:
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Exposure to leading-edge areas such as Machine Learning, Big Data, Distributed Systems or SRE.
•Experience in at least one of the following: Python, Golang, Java, or C/C++
•Familiarity with web service standards and related patterns (REST, gRPC)
•Experience implementing solutions for low-latency, distributed services using open standard technologies.

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 $130,700.00 to $184,440.00 to 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

We are Nifty Coders Pvt. Ltd., a leading provider of Enterprise-Grade Software Engineering Services for startups and corporates. As experts in DevOps & Infrastructure, Application Development, and Service Reliability Engineering (SRE), we deliver innovative, reliable, and scalable solutions that drive business success and digital transformation.

Our commitment to excellence and industry best practices enables us to build high-quality, secure, and tailored software solutions that empower businesses to thrive. With a proven track record of successfully executing complex cloud migration and deployment automation projects, we are dedicated to helping our clients navigate the ever-evolving digital landscape, fostering long-term partnerships and growth.

Job Description

We are looking for a Senior ML Engineer to drive the development and deployment of scalable machine learning solutions. In this role, you will design, train, and optimize advanced models, build robust data pipelines, and collaborate with engineering and product teams to integrate AI capabilities into our systems. As a senior member of the team, you will establish best practices, mentor junior engineers, and lead initiatives that enhance automation, model reliability, and overall performance to deliver impactful, data-driven solutions.

Responsibilities:

Study, analyze, and transform business requirements into data science prototypes.
Design and implement machine learning systems using traditional ML algorithms (e.g., tree-based models, clustering), recommendation systems and transformer –based architectures.
Build, fine-tune, and deploy Large Language Models (LLMs), including local open-source LLMs (e.g., LLaMA, Mistral, Qwen) and API-based models.
Develop Generative AI applications, including Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, ChromaDB, Milvus).
Run machine learning tests and experiments.
Train and retrain algorithms when necessary.
Extend existing ML libraries and frameworks.
Keep abreast of developments in the field.

Qualifications

Years of Experience: Minimum 5+ years of professional experience in software development, specializing in ML.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Requirements:

Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Ability to write robust code in Python.
Hands-on experience with transformers and Hugging Face ecosystem.
Hands-on experience with Agentic frameworks like LangChain/LangGraph.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Additional Information

Employment Type: Full-time
Weekend: 2 Days
Work Model: Hybrid

Compensation And Benefits:

Join a Workplace That Values You

At Nifty Coders Pvt. Ltd., we celebrate innovation, collaboration, and the unique contributions each of our employees brings. We prioritize a work environment that encourages growth, well-being, and a healthy work-life balance. Here, you’ll be part of a team that values creativity, promotes flexibility, and empowers individuals to thrive.

As part of our commitment to supporting you, we offer a range of benefits and perks designed to enhance your work experience:

Competitive compensation plans
Two annual bonuses
Paid Maternity Leave (4 months) and Paternity Leave (5 working days)
Comprehensive medical insurance for you and your dependents
Monthly and quarterly team-building events
Transport allowance
Mobile and internet allowance
Subsidized daily lunch
A dynamic performance review process that fosters ongoing transparency between managers and team members
Company-sponsored certifications programs for internal career growth and development

At Nifty Coders, we foster a culture of collaboration, continuous learning, and innovation, ensuring that every employee has the opportunity to grow and succeed.

Application Deadline: October 15, 2025

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WHY JOIN US?

To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up.
Contribute to KLAARA’s product development roadmap.
Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems.
Oversee the full ML model training lifecycle from data preprocessing to model serving.
Design and implement ML pipelines to allow for proper tracking of data trained models Deliver POC.
Progress within the state-of-the-art AI environment.
Fine-tune the current model and implement it.
Understand, analyse and define new models to create new use cases.
Lead a team of engineers.

Requirements

Ph.D or Master's Degree in Computer Science, Artificial Intelligence, Data Science is preferred.
Experience in ML model training/fine-tuning from Data preprocessing all the way to model serving.
Experience in optimising performance of ML models Experience with ML pipe lining tools.
Full proficiency in Python, R.
Understanding of basic Git commands.
Proficiency in Linux-based operating systems.
Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc).
Experience with Document AI understanding, and extraction is a big plus.
Experience with Pytorch or Tensorflow.
Knowledge of DevOps CI/CD tools such as Jenkins.
Knowledge of container tools such as Docker and Kubernetes Github repository with projects is a big plus (we want to see what you have been able to create).
Ability to solve technical challenges and solutions.
Good command of spoken & written English and Mandarin.
A fast learner and able to work independently.

","hiringOrganization":{"@type":"Organization","name":"Upskills","sameAs":"https://www.upskills.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raffles Quay, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"

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

Team Overview:

Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.

What you get to do in this role:

Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.

Qualifications

Key Qualifications:

Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
5+ years of experience in machine learning, deep learning, or data science, with a track record of applied research or experimentation.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.

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.

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.
We are looking to add a Machine Learning Engineer to our team. This role will be responsible for developing products that provide ML-powered insights to our customers and integrating those applications into the Cherre tech pipeline. Candidates must have an R&D / research background as well as industry-based engineering experience deploying models into production.
The work we do at Cherre touches multiple aspects of ML - the ideal candidate should be familiar with such diverse topics as deep learning, graph algorithms, and named entity resolution. Ability to implement algorithms at scale and experience with distributed computing / big data applications is critical - our knowledge graph has billions of edges!\n

Responsibilities

Work within an agile fullstack scrum team to deploy ML models into production
Develop new ML-based services that enhance our data capabilities
Design and implement scalable and repeatable ML pipelines
Collaborate with data engineering to design workflows for ingesting data streams required for ML applications

Requirements

2+ years software experience, preferably in an object-oriented language
3+ year experience deploying ML models in a production environment Industry-based experience with big data / distributed computing applications
Familiarity with current NLP technologies
Languages: Python, SQL
Technologies: Airflow, Kubernetes, Docker, GCP stack

Nice To Haves

Masters degree in Computer Science / Engineering discipline
Publications / patents in the field of machine learning
Technologies: Apache Spark

Starting Goals

30 Day
Familiar with the Cherre tech stack
Exposure to the Cherre release process
Understands company and team goals
Assigned a mini-project that they will own
60 Day
Familiar with the existing Cherre ML pipeline
Able to start contributing PRs
Understands the types of data we ingest and common customer use cases
90 Day
Contributing to the ML pipeline on a daily basis
Mini-project is completed

Benefits

Competitive Base Salary
Equity
Range of Healthcare Plans
Paid Parental Leave
Unlimited Vacation
Flexible Work Schedule
Compensation: $155,000-220,000/ year

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!
“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson
Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.","hiringOrganization":{"@type":"Organization","name":"Cherre","sameAs":"https://cherre.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer – AI Agent Platform","datePosted":"2025-09-19","description":"

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Description

GEICO is seeking an experienced Sr ML engineer to join our AI org. This person will play key roles for the development of Geico’s virtual assistant platform that elevates the productivity for 30K+ internal associates and the customer experience for millions of policyholders. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure productivity, scalability and usability of GenAI workflows across Geico. AI Agent Platform Engineers are responsible for building key multi-tenant services that power the building, testing, simulation, deployment and hosting of LLM-based agents. The ideal candidate should demonstrate a proven track record of building high performance AI/ML platform & systems, with hands-on experience and deep enthusiasm for Generative AI and related ecosystems.

Responsibilities:

Own design, development and maintenance of high-performance, durable and scalable platform components that jointly power large sets of end-to-end GenAI agentic workflows. Examples include AI agent building & deployment, prompt management, workflow orchestration, MCP registry, etc.
Contribute to the selection, evaluation, and implementation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Basic Qualifications

5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
4+ years of experience designing and building AIML platform and systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), memory management (e.g. Redis), etc.
3+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
3+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Preferred Qualifications:

3+ years’ experience with cloud providers such as Azure and AWS
2+ years’ experience building conversational experiences and agentic workflows, leveraging open source LLMs, e.g. Llama, Mistral, Claude etc.
Experience with LLM observability software such as Langsmith, Arize Phoenix, etc.
Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments

Annual Salary

$115,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The Geico Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

","hiringOrganization":{"@type":"Organization","name":"GEICO","sameAs":"https://www.geico.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"MD Chevy Chase (Office) - JPS, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer – AI Agent Platform","datePosted":"2025-09-19","description":"

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Description

Responsibilities:

Own design, development and maintenance of high-performance, durable and scalable platform components that jointly power large sets of end-to-end GenAI agentic workflows. Examples include AI agent building & deployment, prompt management, workflow orchestration, MCP registry, etc.
Contribute to the selection, evaluation, and implementation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Basic Qualifications

5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
4+ years of experience designing and building AIML platform and systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), memory management (e.g. Redis), etc.
3+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
3+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Preferred Qualifications:

3+ years’ experience with cloud providers such as Azure and AWS
2+ years’ experience building conversational experiences and agentic workflows, leveraging open source LLMs, e.g. Llama, Mistral, Claude etc.
Experience with LLM observability software such as Langsmith, Arize Phoenix, etc.
Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments

Annual Salary

$115,000.00 - $230,000.00

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The Geico Pledge:

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

","hiringOrganization":{"@type":"Organization","name":"GEICO","sameAs":"https://www.geico.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"CA Palo Alto - JPS, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer, Domains Search","datePosted":"2025-09-18","description":"

The Domains Search team at Squarespace is building the next generation of intelligent search experiences for helping customers find the perfect domain. From applying large language models to produce creative domain suggestions, to building scalable ranking and personalization systems, our team is at the intersection of applied machine learning, natural language processing, and large-scale search infrastructure.

We are looking for a Senior Machine Learning Engineer to help shape and build this platform from the ground up. You will report to an Engineering Team Lead in our New York City headquarters.

Why Join Us

This is a unique opportunity to shape a greenfield ML initiative at Squarespace. You'll be part of a small, high-impact team building the foundation of how millions of customers discover and secure their online identity.

You'Ll Get To...

Design, build, and deploy ML models for domain search, including ranking, personalization, and generative domain name creation. Integrate and fine-tune LLMs and hybrid systems (LLMs + rule-based + classical ML) to create brandable, contextual, and internationalized domain suggestions.
Develop and evaluate ranking algorithms that optimize for multiple signals such as relevance, uniqueness, brandability, and business goals.
Implement personalization approaches leveraging user, account, and demographic data to tailor search results.
Collaborate with engineers, data scientists, and product managers to translate ambiguous product ideas into technical requirements and scalable ML solutions.
Own end-to-end ML lifecycle: from feature engineering, model training, and evaluation to deployment, monitoring, and iterative improvement.
Contribute to experimentation frameworks (A/B testing, Statsig, etc.) to measure model impact and continuously improve user experience.
Ensure search quality at scale by developing robust evaluation pipelines and metrics.

Who We'Re Looking For

5+ years of professional experience in machine learning engineering, with at least 2 years at a senior/lead IC level.
Strong background in search, ranking systems, or recommendation engines.
Experience with NLP and LLMs (prompt engineering, fine-tuning, or integration into production systems).
Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and data tooling (Spark, SQL).
Experience deploying ML models to production and scaling them to handle large traffic volumes.
Familiarity with A/B testing and online experimentation methodologies.

Benefits & Perks

A choice between medical plans with an option for 100% covered premiums
Fertility and adoption benefits
Access to supplemental insurance plans for additional coverage
Headspace mindfulness app subscription
Global Employee Assistance Program
Retirement benefits with employer match
Flexible paid time off
20 weeks for parental leave and up to 12 weeks to care for an ill family member
Pretax commuter benefit
Education reimbursement
Employee donation match to community organizations
8 Global Employee Resource Groups (ERGs)
Dog-friendly workplace
Free lunch and snacks
Private rooftop
Hack week twice per year

Cash Compensation Range: $128,500 - $231,500 Usd

The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.

In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock.

About Squarespace

Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit https://www.squarespace.com/about/careers.

Our Commitment

Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

#Li-Hybrid

Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process.

\n\n

Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

","hiringOrganization":{"@type":"Organization","name":"Squarespace","sameAs":"https://www.squarespace.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer, Simulation Realism","datePosted":"2025-09-18","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.

The Simulator Team at Waymo builds simulations of realistic environments for testing and training the Waymo Driver. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Staff Tech Lead Manager

You Will:

Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

You Have:

5+ years of experience with ML software engineering
5+ years of experience with Python
5+ years of ML software experience with machine learning framework including Pytorch, Tensorflow, Jax/Flax ,

We Prefer:

5+ years of experience creating and developing ML models
5+ years of experience with C++ in production setting, with experience integrating ML models in production system
5+ years of experience training large-scale models on GPU/TPU clusters are

#Li-Hybrid

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$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","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-18","description":"

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We’re growing fast: Our community of 127 million registered users and 253,000 active partners across 20 countries, have together already prevented 489+ million meals from going to waste - avoiding over 1.322.000 tonnes of CO2e!

About The Role:

We're looking for a Senior Machine Learning Engineer to be a part of our Consumer Growth Product and Tech team that defines, builds, and delivers AI features for our marketing personalization efforts. You will work towards specific outcomes with the freedom and responsibility to figure out the best route to achieve them, collaborating with other engineers, data scientists, and product members. Within the Product & Tech organization, you will work toward generating the smartest possible recommendations for our users. Your work will ensure they are matched with the best meals at the right time, which in turn will result in more meals saved and improved user retention.

Your Mission

As a Senior Machine Learning Engineer, you will be part of a team dedicated to delivering a step-change in personalization for our consumer marketplace. You will of course collaborate with your counterparts in other product teams, and will be part of the broader ML and tech communities at Too Good To Go. Your work will directly impact millions of users by improving our surplus food management solutions and personalizing their experience.

Tech Stack

Our models are written in Python, supported by SQL to retrieve data. Our models are built, evaluated, and productionised using our MLOps team's platform, which is based on Metaflow. The full Machine Learning stack includes: GitHub, Jenkins, Docker, Airflow, OpenSearch, and Redshift.

Responsibilities

Working on researching, building, and designing different machine-learning models for marketing personalization.
Running experiments, evaluating, and using the results to improve machine learning models and algorithms.
Working end-to-end to solve problems with a product and customer-oriented mindset.
Building and deploying models in production.
Involvement in developing statistical models.
Collaborating with the rest of the team to improve our product and solve customer problems.

The Ideal Candidate

Has established experience within a similar role.
Experience using Python and deploying to production.
First-hand experience with ML libraries, frameworks, and tools, such as PyTorch, TensorFlow, Scikit-learn, Prophet, DeepAR, etc.
Degree educated within a technical field (Computer Science or equivalent engineering degree).
Experience in a cloud environment (AWS, Google Cloud, or Azure).
Bonus: experience with dbt, Snowflake, Airflow, or Metaflow; experience in complex ML system design; and experience in statistical hypothesis testing.

What We Offer

Develop and maintain the backbone of our personalization engine, which is used by millions of users every day to support their efforts to combat food waste.
An opportunity to work in a global social-impact company and certified B Corporation where you can see a real and tangible impact in your role.
To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; your insights are valuable, and we are here to listen.
We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop, and take ownership of their work in a way that works for them.
To be part of an international company, with over 1,300+ colleagues across 20 countries.

Our Values

We win together: Food waste is a big beast to fight. We can do it if we win together as Waste Warriors with no ego. We believe in a #oneteam.
We raise the bar: We always push for more. We work smart, smash barriers, and elevate one another.
We keep it simple: Our ambitions are bold but our solutions are simple.
We build a legacy: We’re proud of the change we’re driving and want it to last.
We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

How To Apply

We take recruitment very seriously, so please carefully read everything we have written above.
Please also check our website and international media in order to get a good overview of Too Good To Go.
Please submit your CV and Cover letter in English.
Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-TC1

#Li-Hybrid

A Movement for Everyone
We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong.
We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.

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\n- Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers;
\n- Secure platform health and community experience authenticity;
\n- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
\nThe PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.
\n
\nIn order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
\n
\nResponsibilities:
\n- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
\n- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
\n- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-18","description":"

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get To Know The Team:

In the Mobility Data Science team you are at the core and center of Grab's ride hailing business. We are responsible for building and serving AI models to empower our pax' ride hailing experience in Grab.
Our primary goals are to enhance our passenger experience, and drive decision-making that contributes to user growth and platform efficiency
We leverage your mathematical modeling, statistical analysis, machine learning algorithms, and programming proficiency to drive data-driven decisions and help us conquer unique business challenges in the ride-hailing industry

Get To Know The Role:

Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our passengers on our platform that can improve passenger experience and network efficiency
Contribute to solving key business problems such as user experience, user growth, demand and supply balancing, and service differentiation.
Develop and implement machine learning models to predict ride demand, passenger preferences, passenger cancellation/churn and improve the overall efficiency of the ride-hailing system.
Continues improvement through iterative model enhancement and A/B testing
Collaborate cross-functionally with software engineers, product managers, and operational teams to translate business needs into data solutions, implementing and deploying these solutions at scale.
Contribute to team's innovation and IP creation

Qualifications

Ph.D. graduate, or Master's Degree graduate with at least 3 years of experience, in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field
Extensive proven experience as a Data Scientist, preferably within the ride-hailing or related industries.
Deep understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization. Experience with machine learning framework (Tensorflow, pytorch, etc)
Proficient in one or more of the following programming languages: Python, Scala.
Self-motivated, independent learner, and willing to share knowledge with team members
Excellent interpersonal and communication skills to foster collaboration with team members and effectively articulate insights to stakeholders.
Ability to thrive in a dynamic, fast-paced work environment, managing multiple priorities simultaneously.

Additional Information

Life At Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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About Us

Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful.

Why Join Us

At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.

If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.

Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries.

What you’ll be doing

Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment.
Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI.
Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform.
Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale.
Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform.
Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

What you’ll bring to the role

Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU.
An engineering mindset with the competencies of an applied scientist.
3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems.
Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications.
Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale.
Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production.
Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
Excellent communication, collaboration skills, and presentation skills.
Experience with Spoken Language Understanding is a plus
Published papers in top NLP/ NLU conferences or workshops are a plus
Relevant open-source contributions are a plus.

Perks & Benefits

Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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Real is a fast-growing national real estate brokerage powered by technology. Real is currently operating in all U.S. states, Canada, and the District of Columbia. Founded in 2014, Real is a trailblazer in the Residential Real Estate industry, as we lead the disruption with our cutting-edge technology platform. We are on a mission to revolutionize the home-buying and selling process, making agents' lives better while creating lucrative financial opportunities for them.

For more information, visit https://www.onereal.com/

Location: India - Remote. MUST be based in the India to be considered.
Work Schedule: 2:30 PM TO 11:30PM IST

Availability: Must be able to join within 45 days of offer.

Job Summary:

We are seeking a skilled and motivated Senior Machine Learning Engineer to join our R&D Team at Real. The ideal candidate will have a strong foundation in machine learning and artificial intelligence, with hands-on experience in implementing these technologies to solve real-world problems. In this role, you will work transversely across the company, embedding AI-driven solutions into various facets of our business, including operations, customer experience, and product development.

Duties/Responsibilities

Design, develop, and deploy AI/ML models to enhance real estate operations, customer experience, and product innovation.
Work closely with various teams (e.g., operations, marketing, product development) to identify and prioritize opportunities for AI integration.
Build and maintain scalable AI systems using Python and relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Stay informed about the latest trends and advancements in AI/ML to drive innovation and maintain competitive advantage.
Troubleshoot, optimize, and refine AI models to ensure high performance, reliability, and accuracy in production environments.
Maintain thorough documentation of models, processes, and results; communicate findings and progress to stakeholders.

Required Skills/Abilities:

Strong programming skills in Python and familiarity with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of machine learning algorithms, statistical analysis, and data modeling techniques.
Proficiency in data manipulation and analysis using tools such as Pandas, NumPy, and SQL.
Ability to identify complex problems, analyze options, and implement effective solutions in a dynamic environment.
Excellent interpersonal skills, with the ability to communicate technical concepts to non-technical stakeholders effectively.
Willingness to learn and adapt to new technologies and methodologies as the field of AI/ML evolves.
Experience in managing multiple projects simultaneously, with a focus on meeting deadlines and delivering high-quality work.

Education And Experience:

Minimum of 2 years of experience working with Python in production environments.
At least 5 years of experience in the AI/ML domain. An academic research background in AI/ML is also acceptable.
Bachelor's degree in Technology or related field.

Must-Have: Ability to truly encompass our Company Core Values

Work Hard. Be Kind
“We” are bigger than “me”
Tech X Humanity

Physical Requirements:

Sit for long periods of time

Real is proud to be an equal opportunity workplace employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

#LI-SP1

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At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day In The Life

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes.
In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions.

This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction.

Responsibilities may include the following and other duties may be assigned:

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Use software design principles to develop production ready code.
Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
Optimize and fine-tune machine learning models for performance and accuracy.
Deploy machine learning models into production environments and monitor their performance.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
Mentor and provide guidance to junior Machine Learning Engineers.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
5+ years of industry experience in writing production level, scalable code (e.g. in Python)
4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
4+ years of industry experience with distributed computing frameworks such as PySpark
4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
Experience in building Agentic AI applications.
2+ years of technical leadership leading junior engineers in a product development setting

Preferred Qualifications:

MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
Proficient in containerization services
Proficient in Sagemaker to deploy the models
Experience with working in CICD framework
Experience in deploying and scaling Open source LLM Models

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here

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While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Senior Machine Learning Engineer
Experience Level: 3 to 6 Years
Locations: Mumbai, Bangalore & Trivandrum

About The Role:

You will be working as a Senior Machine Learning Engineer within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with the use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, and Data engineering to create platforms, solutions, and applications that cater to the latest trends in the healthcare industry such as digital diagnosis, software as a medical product, and AI marketplace, amongst others.

Role & Responsibilities:

Developing high-level solution architectures and working with our offshore team of big-data engineers and machine learning engineers to build, test, and assess models that predict and optimize business outcomes based on the client’s success criteria.
Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
Building deep relationships with clients by understanding their stated but more importantly, latent needs.
Working hands-on with the delivery teams in building solutions in the healthcare domain (Provider, Payer, and Pharma)
Working closely with the offshore delivery managers to ensure seamless communication and delivery cadence.Researching and identifying sales opportunities, generating leads, target identification, and classification
Serve as a mentor or guide for junior resources/freshers.
Lead the technical discussion with the clients regarding updates/risks/blockers, etc. Fluent in communication

Must Have Skills:

Hands-on experience in developing and deploying models in computer vision or NLP or both
Experience or exposure to LLMs, Gen AI/ prompt engineering (RAG architecture)
Work with MLOps frameworks and tools to train and interpret the ML models for business stakeholders
Knowledge of Cloud-environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch etc
Ability to think creatively and work well both as part of a team and as an individual contributor
Critical eye for the quality of data and a strong desire to get it right.
A pleasantly forceful personality and charismatic communication style.
Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”.
Experience and understanding of ML Ops

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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Job Posting Title:

Senior Machine Learning Engineer, Ad Platforms

Req Id:

10129950

Job Description:

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science. Our team is seeking a Senior Machine Learning Engineer who will be an outstanding addition and focusing on machine learning algorithm development for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you!

Responsibilities:

Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
Invent and iterate novel solutions for complex ad challenges with fast turnaround.
Lead the ad algorithm architecture design and iteration of the advertising system.
Develop scalable and efficient approaches for large scale data analysis and model development.
Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization.
Collaborate with engineering teams, product managers, and program managers in an open and creative environment.

Basic Qualifications

5+ years of relevant engineering experience working at leading technology companies.
Strong knowledge of and experience implementing AI/ML technologies, mathematics and statistics.
Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications:

Experience in large scale machine learning.
Experience in LLM and GenAI.
Experience with CTR/CVR model, generative AI.
Experience with feature store, audience segmentation and MLOps
Experience with Tensorflow, Kubeflow or Sagemaker
Experience in the advertising, digital video advertising, or digital marketing domain
Bachelor's degree in computer science, Information Systems or related equivalent experience.
Master’s degree in computer science, Information Systems or related equivalent experience.
Primary City, State, Region, Postal Code:

Required Education:

Preferred Education:

#Disneytech

The hiring range for this position in WA is $145,400.00 to $195,000.00 per year and in CA is $138,900.00 to $203,900.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Ad Platforms

Job Posting Primary Business:

AP - Software Engineering

Primary Job Posting Category:

Machine Learning

Employment Type:

Full timeSeattle, WA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2450 Broadway, USA - CA - Market St

Date Posted:

2025-08-27","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - WA - 925 4th Ave, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-18","description":"

A Day In The Life

Responsibilities may include the following and other duties may be assigned:

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Use software design principles to develop production ready code.
Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
Optimize and fine-tune machine learning models for performance and accuracy.
Deploy machine learning models into production environments and monitor their performance.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
Mentor and provide guidance to junior Machine Learning Engineers.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
5+ years of industry experience in writing production level, scalable code (e.g. in Python)
4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
4+ years of industry experience with distributed computing frameworks such as PySpark
4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
Experience in building Agentic AI applications.
2+ years of technical leadership leading junior engineers in a product development setting

Preferred Qualifications:

MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
Proficient in containerization services
Proficient in Sagemaker to deploy the models
Experience with working in CICD framework
Experience in deploying and scaling Open source LLM Models

Benefits & Compensation

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

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Location(S):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Job Posting End Date:

October 10, 2025

Shift:

Job Description Summary:

Location: Atlanta, GA (Global HQ) - hybrid, onsite 3 days/week

The Global Equipment Platforms (GEP) team is seeking an exceptional and forward-thinking AI & Cloud Innovation Engineer to spearhead the exploration, prototyping, and strategic integration of cutting-edge Artificial Intelligence and advanced cloud capabilities for The Coca-Cola Company's global fleet of 17MM+ connected equipment. Reporting to the AI & Digital Innovation Lead within GEP Digital, Data, & AI, this individual contributor role is pivotal in transforming the insights generated by our Data Scientists into tangible, deployed capabilities that reduce operating expenses, increase revenue, and provide unprecedented real-time market understanding.

You will be responsible for researching, experimenting with, and building proofs-of-concept (POCs) utilizing nascent AI technologies (e.g., advanced Generative AI applications, cutting-edge computer vision techniques, responsible AI frameworks, sophisticated AI Agents) and novel cloud architectures (e.g., edge computing for IoT, serverless AI patterns, highly distributed compute models on Azure). This role demands deep technical expertise in both AI and cloud environments, coupled with a relentless curiosity and a proven ability to translate abstract ideas into tangible, demonstrable prototypes. Your work will directly inform the future roadmap of our Unified IoT solution, ensuring we can strategically leverage breakthroughs to further reduce TCO, increase transactions, and generate unparalleled real-time insights from our KO Operating System (KOS)-powered devices across a multi-tenant global landscape.

Key Responsibilities:

AI/ML Model Implementation & MLOps (40%):

Design, develop, and maintain robust, scalable MLOps pipelines for deploying, monitoring, retraining, and versioning machine learning models, AI Agents, and computer vision algorithms.
Implement automated CI/CD processes for AI artifacts, ensuring rapid and reliable deployment of models into production environments (e.g., Azure ML, Azure Kubernetes Service).
Work hands-on to containerize (e.g., Docker) and orchestrate (e.g., Kubernetes) AI services for efficient resource utilization and high availability across the global equipment fleet.
Develop and manage API endpoints for AI models, ensuring secure, low-latency, and high-throughput inference services for consumption by applications and other systems.

AI Infrastructure & Ecosystem Integration (25%):

Collaborate with Lead Data Engineers and Digital Technology Solutions (IT) to provision, configure, and optimize cloud-based AI infrastructure (e.g., GPU clusters, specialized compute instances) on Azure.
Integrate AI capabilities seamlessly into existing GEP applications and platforms, including remote equipment management tools, content management systems, marketing solutions, and analytics dashboards.
Design and implement data contracts and integration patterns between AI services and the core IoT platform, ensuring efficient data flow for real-time inference and model updates.
Ensure the AI solutions are generic enough to support varied global market needs and can operate across different equipment types (dispense, vend, cooler, racks).

Advanced AI Exploration & Transformation (20%):

Research, prototype, and engineer solutions for emerging AI technologies, including the operationalization of AI Agents for autonomous decision-making and advanced computer vision algorithms for real-time insights from equipment.
Drive the \"transformation\" aspect by actively enabling internal teams, bottlers, and OEMs to adopt and leverage AI-powered features, demonstrating their value and providing technical enablement.
Work closely with Data Scientists to transition experimental models into production-grade solutions, ensuring scalability, reliability, and maintainability.
Identify opportunities to apply AI to reduce equipment TCO, increase transactions, and provide deeper market insights, turning the 17MM+ pieces of equipment into intelligence assets.
Research, prototype, and evaluate cutting-edge AI technologies (e.g., Generative AI, Edge AI, Computer Vision on KOS) to identify new opportunities, working closely with the Lead AI Engineer to establish feasibility for scalable production deployment and with the Product Owner to assess potential for new product features.
Collaborate with Data Scientists on novel algorithmic approaches, providing expertise on implementation challenges and opportunities for product ionization.

Performance Monitoring & Optimization (15%):

Implement comprehensive monitoring, logging, and alerting for deployed AI models, tracking performance metrics (e.g., latency, throughput, error rates), model drift, and data quality issues in production.
Proactively identify bottlenecks and optimize the performance and cost-efficiency of AI inference and retraining pipelines.
Establish best practices for model retraining strategies, including trigger conditions, data versioning, and A/B testing in production.
Ensure the AI solutions are designed to take advantage of future connected device technology breakthroughs (e.g., LoRaWAN) and hardware advancements.

Key Deliverables:

Robust, scalable, and highly available MLOps pipelines for the GEP AI ecosystem.
Production-ready deployed AI/ML models (e.g., predictive maintenance, computer vision, AI Agents) delivering measurable business value.
Optimized AI inference services with clear APIs for application integration.
Comprehensive monitoring and alerting frameworks for deployed AI solutions.
Documented AI engineering best practices, architecture patterns, and deployment guides.
Successful enablement and adoption of AI-powered features by internal and external stakeholders.

Decision Rights:

Technical design and implementation details for MLOps pipelines and AI model serving infrastructure.
Selection of specific AI engineering tools and libraries (within approved Azure ecosystem guidelines).
Optimization strategies for AI model performance, cost, and reliability in production.

Required Experience & Qualifications:

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Master's or Ph.D. preferred.
4+ years of hands-on experience in AI/ML engineering, MLOps, or productionizing machine learning models in cloud environments.
Expert-level proficiency in designing, building, and operating production-grade AI/ML pipelines on Microsoft Azure (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure Functions, Azure Databricks).
Strong software engineering background with extensive experience in Python, including developing robust, production-quality code and APIs.
Proficiency with containerization technologies (Docker) and orchestration platforms (Kubernetes).
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and deploying models trained with these frameworks.
Solid understanding of cloud infrastructure concepts, networking, and security best practices relevant to AI deployments.
Experience with Git and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Familiarity with IoT, telemetry data, and embedded systems (exposure to KOS or similar OS is a plus).
Proven ability to work independently and drive technical projects from conception to production.

Competencies:

Engineering Excellence: Possesses deep software engineering principles and applies them rigorously to build robust, scalable, and maintainable AI solutions.
AI Vision & Execution: Translates strategic AI concepts into practical, deployable systems, bridging research with real-world application.
Problem Solver & Innovator: Tackles complex technical challenges in AI deployment, consistently seeking and implementing innovative solutions.
Collaborative Integrator: Works effectively across diverse technical teams (Data Science, Data Engineering, IT) and with business stakeholders to ensure seamless AI integration.
Results-Driven & Accountable: Focuses on delivering tangible business value through deployed AI, taking ownership of the end-to-end operational success of solutions.
Continuous Learner: Stays abreast of the rapidly evolving AI landscape and proactively adopts new technologies and best practices.

Success Is Measured By:

Productionized AI Solutions: Number and diversity of AI/ML models, AI Agents, or computer vision solutions successfully deployed and operating in production.
Operational Performance: Uptime, latency, and throughput of deployed AI services; adherence to defined SLAs.
Cost Efficiency: Optimization of compute and storage costs for AI workloads in production.
Business Impact: Measurable contribution to TCO reduction, revenue uplift, and enhancement of real-time market insights via AI-powered features.
Deployment Velocity: Reduction in time from model readiness to production deployment.
Model Reliability: Reduction in production incidents related to AI model serving and performance.
What We Can Do for You
Iconic & Innovative Brands: Our portfolio represents over 250 products with some of the most popular brands in the world, including Coca-Cola, Simply, Fairlife & Topo Chico.
Expansive & Diverse Customers: We work with a diversified group of customers which range from retail & grocery outlets, theme parks, movie theatres, restaurants, and many more each day.

All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.

Skills:

Artificial Intelligence (AI), Azure Kubernetes Service (AKS), Containerization Software, Docker (Software), Git, GitHub, Machine Learning, Machine Learning Operations, Microsoft Azure Databricks, Microsoft Azure DevOps, Microsoft Azure Functions, Microsoft Azure Machine Learning

Pay Range:

$131,000 - $153,000

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Our Purpose And Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.","hiringOrganization":{"@type":"Organization","name":"The Coca-Cola Company","sameAs":"https://www.coca-colacompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - GA - Atlanta, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer AI Inferencing","datePosted":"2025-09-17","description":"

Company Description

Job Description

This Role is based in our Santa Clara office and requires two days in the office

PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-end, industry-leading work experiences for our customers. We are a group of people deeply invested in the success of our customers that happen to have expertise and knowledge in advanced technologies and software engineering best practices. We are data driven, structured, committed and we enjoy what we are doing. We prioritize robustness, performance and user experience over the technology stack and tools.

What you get to do in this role:

You will play a major part in building AI and Machine Learning (ML) platform that transform the user experience and workflow efficiency of enterprise services.

Your skills will enable us to build and optimize a high-performance inferencing platform, allowing our core platform to provide high quality AI solutions to our enterprise customers globally.

Utilize your expertise in Python and Golang to develop high-performance components of the AI Platform.
Collaborate with cross-functional teams to integrate AI capabilities seamlessly into workflows and user experiences.
Ensure reliability and performance of AI models by applying best practices in software engineering and AI inferencing.
Stay ahead of the curve by quickly learning emerging technologies and applying them to enhance the AI Platform.

Qualifications

To be successful in this role you 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.
Low Latency Optimization: Experience in optimizing models for low latency inference, important for real-time applications.
High Throughput Optimization: Knowledge of maximizing inference throughput.
Real-time Systems: Understanding the constraints of real-time systems on model inference.
Model Quantization and Compression: Practical experience in reducing model size and computational cost.
Proficient in prompt engineering and developing LLM based features
Experience in using AI productivity tools such as Cursor, Windsurf, etc
Minimum 5 years of experience working in Software Development role.
Proficiency in Python and Golang, with a strong grasp of software engineering principles.
Hands-on experience with prompt engineering: ability to craft, test, and optimize prompts for task accuracy and efficiency.
Demonstrated ability to thrive in fast-paced, dynamic environments.
Knowledge of unit testing, profiling, and code tuning

For positions in this location, we offer a base pay of $158,500 - $269,500, 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

Equal Opportunity Employer

Accommodations

Export Control Regulations

Join Us In Building The Future Of Finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About The Team + Role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The mission of the AI Research and Development team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood. We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable. To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company. As we embark on this exciting journey, we are looking for a Senior Machine Learning Engineer to join us to make this vision a reality.

This role is based in our Menlo Park, CA or Bellevue, WA office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What You'Ll Do

As a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:

AI and ML Research: Evaluate cutting technologies, including but not limited to, transformer based model architecture and large foundational models to identify solutions for Robinhood specific problems.
Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.
Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy.
Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.
Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings.

What You Bring

5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects.
A fervent interest in exploring and applying AI and ML technologies.
Strive to solve sophisticated engineering problems that drive business objectives.
Solid technical foundation enabling active contribution to the design and execution of projects and ideas.
Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.
Hands-on experience in classical ML techniques with tabular data as well as modern techniques with sequential data
Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning.
Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow.
Experience with Spark, Kafka, and Kubernetes is also desirable.
Ideally you have experience in the Finance sector.

What We Offer

Challenging, high-impact work to grow your career
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$187,000—$220,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$165,000—$194,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$146,000—$172,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

Senior Machine Learning Engineer - CFA, Seattle

Why We Have This Role

We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level through AI Agent.
Our goal is to extend our Experience Management capabilities into “close the loop” and personal concierge use cases - powered by Experience Agent.
You should love building simple solutions to solve hard customer problems.
Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You’ll Find Success

Work in a supportive environment enables individual growth and achievement of team goals
Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
Implement new features and optimize existing ones to delight our customers

How You’Ll Grow

Qualtrics is a fast paced, dynamic environment where you will have the opportunity to build on and expand your experience through working on high impact projects
Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
You will work alongside like minded and driven technical professionals.

Things You’Ll Do

Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
Finding quick ways to prototype and test possible solutions to large problems

What We’re Looking For On Your Resume

Bachelor’s degree in Computer Science or related fields.
5-8 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.
Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
Experience in programming with at least one modern programming language such as Python, including object-oriented design
Experience with applied machine learning models and large-scale ML systems
Experience with Agent frameworks such as LangChain, Autogen etc is a plus.

What You Should Know About This Team

This team uses AI/ML research and development services for all product lines.
This team builds core machine learning infrastructure and services.
You will get the opportunity to work with other teams, and projects on a regular basis.
The scale of the problems we are solving means your impact will scale as well.

Our Team’s Favorite Perks and Benefits

$1800 Experience bonus to be used for an “Experience” of your choosing
Unlimited Sick Days
We spend 10% of our time on individual engineering growth activities every quarter
Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

\n\n

For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.

Washington State Annual Pay Transparency Range$175,000—$251,000 USD","hiringOrganization":{"@type":"Organization","name":"Qualtrics","sameAs":"https://www.qualtrics.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-17","description":"

Company Description

Job Description

What you get to do in this role:

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

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:

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

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

Job Description

Join the team redefining how the world experiences design.
Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work—we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
\n
\nWhat you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you a flavor of the type of things you'll be working on when you start, which will likely evolve over time.

At the moment this role is focused on:

Provide hands-on technical support to researchers, debugging training jobs, optimising inference pipelines, and unblocking critical workflows
Develop tools and patterns that help researchers self-serve common needs, reducing repetitive support burden
Partner with platform capability teams to identify gaps in current offerings and advocate for researcher needs
Create documentation and examples that accelerate researcher onboarding and reduce time-to-productivity
Lead technical deep-dives on performance optimisation, cost reduction, and workflow efficiency for research teams\n

You’re probably a match if

You have strong Python skills and experience with ML frameworks
You’ve worked closely with or supported research/data science teams
You’re a problem solver with strong debugging chops across the ML stack
You can explain complex technical concepts to different audiences with ease
You’re customer-focused and have the patience to support a variety of users—even when it gets repetitive
You enjoy being a force multiplier—accelerating research by removing friction

About The Team

Canva’s AI Platform Group powers AI innovation across the company. Our Enablement teams act as trusted advisors and builders for researchers, helping them go from idea to production faster. We support high-impact initiatives like Project Celestial and Turkey, and are key players in onboarding new researchers around the world. Our mission? Reduce friction, optimise workflows, and elevate Canva’s AI velocity.

What’s in it for you?

Achieving our crazy big goals motivates us to work hard—and we do—but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.

Here’s a taste of what’s on offer:
• Equity packages – we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know
\nWe make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

We celebrate all types of skills and backgrounds at Canva—so even if you don’t feel like your skills quite match what’s listed above, we still want to hear from you!

Please note that interviews are conducted virtually.

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Company Description

Job Description

What you get to do in this role:

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:

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

Wjaisnjobs

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for a Senior Machine Learning Engineer to join our AI Operations & Safety team. You will ensure the secure, compliant, and responsible deployment of generative AI (GenAI) models across financial services. Reporting into the Senior Management within the team you will lead technical projects, mentor junior engineers, and collaborate with cross-functional teams to build scalable, safe, and explainable AI systems aligned with regulatory and ethical standards.

What You'Ll Do:

Contribute to the design and implementation of Responsible AI frameworks and governance policies.
Collaborate with risk, compliance, and legal teams to ensure AI systems meet regulatory and ethical standards.
Lead technical audits and documentation efforts related to AI safety, fairness, and transparency.
Architect and maintain systems for model deployment, monitoring, and lifecycle management.
Establish guardrails for model performance, explainability, and risk mitigation.
Lead incident response and root cause analysis for AI-related issues.
Develop scalable ML pipelines for model validation, evaluation, and monitoring.
Lead development of GenAI-powered solutions in domains such as fraud detection, credit risk modeling, and customer service automation.
Collaborate with product and engineering teams to integrate AI capabilities into production systems.
Provide technical leadership across the AI Operations & Safety team.
Mentor junior and mid-level engineers, encouraging innovation.
Promote best practices in MLOps, model governance, and secure AI development.

Qualifications

What You'Ll Bring:

6–8 years of experience in machine learning, data science, or software engineering.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, and CI/CD for ML).
Experience with AI governance, model risk management, and regulatory compliance in financial services.
Experience leading technical projects and mentor engineering teams.
University degree in Computer Science, Engineering, Data Science, or a related field.
Excellent written and verbal English skills.

Additional Information

You Will Get:

Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#Li-Hybrid

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.

This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. Our team extracts and retrieves information from billions of structured and unstructured data points to deliver insights to our customers. As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. In this role, you will design and build AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Ops and ML Engineering capabilities.

What You’Ll Be Doing:

Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Gather product requirements and translate them into robust ML system design requirements.
Work on a variety of information extraction, information storage and information retrieval problems from both structured and unstructured data sources.
Architect efficient and scalable systems to support serving inference services.
Develop reusable AI-based services — including ML models, foundation models, and agents — that will be consumed by other backend services at Affinity.
Lead complex technical initiatives and provide technical input for peers through system design reviews, code reviews, and promoting best practices.
Collaborate with cross-functional teams (product, infra, data engineer, and software engineer) and ML engineering teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production, with a focus on ML Engineering and ML Ops.
Experience in the following technical areas:

Architecture design for distributed systems.
Building maintainable and testable codebases and services.
Developing ML systems, such as recommendation systems and information retrieval solutions.
Relational DB, non-relational DB, and vectorDB.
Developing AI applications powered by LLMs and/or agents.
Proficient in building services in Python and common ML frameworks, such as PyTorch and Scikit-learn.

Experience with observability tools for both online and offline evaluation and tracing for AI applications.
Demonstrated experience working with large datasets, and are comfortable with high-scale data ingestion, transformation, analysis, and prediction tools.
Experience working collaboratively with engineering, product, data, and other cross-functional teams.

Nice To Have:

Experience with developing machine learning applications at scale, from inception to driving user impact.
Familiar with serving machine learning models for streaming and batch inference at scale.
Experience with packaging, CI/CD and pipeline automation.
Good understanding of machine learning systems’ testing, benchmarking, and online monitoring.
Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. We maintain the Docker images and deployment pipeline via CircleCI. Our data stack includes Spark, Python, Kafka, and Databricks.

How We Work:

Our culture is a key part of how we operate, as well as our hiring process:

We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.
We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

What You'Ll Enjoy At Affinity:

We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and \"taste the soup\" by diving deep into experiences to create the best outcomes for our colleagues and clients.
Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
Retirement Planning: We offer an RRSP plan to help you plan for your future.
Learning & Development: We provide an annual education budget and a comprehensive L&D program.
Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $113,000 to $200,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.

About Affinity

With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.

We Use E-Verify

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.

","hiringOrganization":{"@type":"Organization","name":"Affinity","sameAs":"https://www.affinity.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada (Remote); Toronto, Ontario","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer, Computer Vision/VLM","datePosted":"2025-09-17","description":"

In Semantics, our team's mission is to create the highest-fidelity, most comprehensive offboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art computer vision, deep learning, and generative AI to automatically analyze driving logs, generate rich scene understanding, and power the data engine that enables Waymo to scale safely and efficiently.

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

You Will:

Develop and train state-of-the-art computer vision / multimodal models (e.g., Gemini) to extract the rich semantic information (e.g., object attributes, scene properties, interaction dynamics) required by the AI agent.
Design and implement a scalable AI agent framework that integrates large foundation models (e.g., Gemini) with the outputs of our perception models and internal knowledge bases.
Develop and apply Fine-tuning and Reinforcement Learning (RL) techniques to create a \"data flywheel,\" continuously improving the system's captioning and reasoning abilities through automated feedback.
Develop and prototype novel prompting strategies for Vision-Language Models (VLMs) to elicit complex, causal reasoning about driving scenarios.
Collaborate closely with the ML Infra, Perception, Behavior, and AI Foundation teams to define data requirements and integrate the captioning system into the broader ML development lifecycle.
Own the full system lifecycle, from advanced model development and prototyping to production deployment and scaling for massive data generation

You Have:

Master’s degree in Computer Science, or a related technical field.
4+ years of hands-on experience training and shipping deep learning models for computer vision tasks (e.g., detection, segmentation, video understanding) using Python and frameworks like PyTorch, JAX, or TensorFlow.
1+ years of demonstrated experience working with large language models (LLMs) or vision-language models (VLMs) in areas such as fine-tuning, prompting, or Retrieval-Augmented Generation (RAG).
Strong software engineering fundamentals, including designing scalable and reliable systems.
Experience building and managing large-scale data processing pipelines for ML training.
Proven ability to work autonomously and lead complex technical projects in a fast-paced R&D environment.

We Prefer:

PhD in Computer Science, or a related technical field.
Publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
Hands-on experience with Reinforcement Learning, especially RLHF, RLAIF, or applying RL to language/agentic tasks.
Experience with modern techniques in self-supervised, weakly-supervised, or multi-task learning for perception.
Experience building with AI agent frameworks (e.g., LangChain, LlamaIndex) or developing autonomous agentic systems.
Familiarity with the challenges of multimodal perception in robotics or autonomous driving.
A track record of impactful cross-functional collaboration.

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":33,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-17","description":"We anticipate the application window for this opening will close on - 2 Oct 2025

A Day In The Life

In this role as a Senior Machine Learning Engineer in the Transformation team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions.

This position is an exciting opportunity to work with Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.

Responsibilities may include the following and other duties may be assigned:

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Use software design principles to develop production ready code.
Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
Optimize and fine-tune machine learning models for performance and accuracy.
Deploy machine learning models into production environments and monitor their performance.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
Mentor and provide guidance to junior Machine Learning Engineers.

Required Knowledge And Experience:

Requires a Bachelor's degree and minimum of 4 years of relevant experience OR Master's degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience.

Preferred Qualifications:

Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
5+ years of industry experience in writing production level, scalable code (e.g. in Python)
4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
4+ years of industry experience with distributed computing frameworks such as PySpark
4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, Langgraph, PGVector, Pinecone, Bedrock.
Experience in building Agentic AI applications.
2+ years of technical leadership leading junior engineers in a product development setting
MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
Proficient in containerization services
Proficient in Sagemaker to deploy the models
Experience with working in CICD framework
Experience in deploying and scaling Open source LLM Models

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation

Salary ranges for U.S (excl. PR) locations (USD):$138,400.00 - $207,600.00This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).

The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).

The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.

Further details are available at the link below:

Medtronic benefits and compensation plans

About Medtronic

Learn more about our business, mission, and our commitment to diversity here.

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, 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, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

","hiringOrganization":{"@type":"Organization","name":"Medtronic","sameAs":"https://www.medtronic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA-GA Duluth, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer, Audio Perception","datePosted":"2025-09-16","description":"

The Audio Perception team focuses on leveraging audio to provide sufficient scene understanding and driving behavior that are uniquely captured by audio. The team owns audio-related signals and supports applications across all product areas, improving key metrics like safety, rider comfort and cost. We strive to fulfill new product requests while preserving performance on existing applications as we rapidly scale to new cities.

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

You Will:

Support new product requests end-to-end, from problem definition to a solution that is integrated in the onboard driving system.
Streamline the model development and evaluation stack for rapid adaptation to new tasks and data.
Establish and maintain a sustainable model stack to facilitate Waymo’s scaling across multiple platforms and cities.

You Have:

Bachelor’s degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.
5+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks.
Deep understanding of state-of-the-art ML techniques, especially those related to multi-class classification, regression, model adaptation and scarce data.
Proficiency in at least one deep learning framework (e.g. TensorFlow, PyTorch, JAX).
Proficiency in C++ and Python.

We Prefer:

Master’s degree or Ph.D in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.
Experience in audio modeling or digital signal processing.
Familiarity with multi-modal systems and/or foundation models.
Experience implementing infrastructure to support model development (e.g. data processing modules).
Experience in optimizing ML models for on-device deployment and real-time performance.
Background in autonomous driving or robotics.
Familiarity with SQL.

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":35,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-16","description":"

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior Machine Learning Engineer

What does a successful Senior Machine Learning Engineer do at Fiserv?
Harnesses advanced analytics and machine learning to derive AI Ops initiatives, optimizing AI operations and system performance. This role involves collaborating with cross-functional teams to identify business needs and develop data-driven solutions that enhance operational efficiency and decision-making. By deploying and maintaining AI solutions, the Senior ML Engineer ensures they operate effectively across the organization.

What You Will Do:

Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance.
Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
Analyze large datasets to extract actionable insights and support strategic decision-making.
Design and conduct experiments to validate model performance and improve operational processes.
Monitor and maintain AI models in production to ensure effective and efficient operation.
Communicate findings and recommendations to stakeholders through clear visualizations and presentations.

What you will need to have:

10+ years of experience in data science, focusing on AI and machine learning applications.
8+ years of experience in programming with Python, R, or Scala and using data manipulation libraries like Pandas, Numpy.
7+ years of experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
6+ years of experience with cloud platforms like AWS or Azure and big data technologies such as Hadoop, Spark.
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience.

What would be great to have:

5+ years of experience designing and deploying end-to-end machine learning pipelines in production environments.
4+ years of expertise in natural language processing (NLP) and computer vision techniques.
3+ years of knowledge in reinforcement learning and its practical applications.
4+ years of experience with ML Ops tools and practices for continuous integration and deployment of machine learning models.
3+ years of familiarity with regulatory and compliance considerations for AI and machine learning solutions.

Salary Range

$127,500.00 - $204,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our Commitment To Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note To Agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning About Fake Job Posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

","hiringOrganization":{"@type":"Organization","name":"Fiserv","sameAs":"https://www.fiserv.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alpharetta, Georgia, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-16","description":"

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26).

Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG

Join the Innovation & Intelligence Team within the Data & Analytics Operations function at the London Stock Exchange Group (LSEG). We are a dynamic group of data scientists, engineers, and analysts who deliver impactful automation and AI solutions that enhance operational performance across the organisation.

We work in an agile, collaborative environment, partnering closely with Engineering and D&A Operations teams to shape the technology roadmap and drive innovation. Our mission is to accelerate value delivery while building scalable, future-ready capabilities.

What You’ll Do
As a Senior Machine Learning Engineer, you will:
Lead the design and implementation of automation solutions using AI/ML techniques to solve real-world business challenges.
Collaborate with cross-functional teams to gather requirements and translate them into working prototypes and production-ready tools.
Build and test Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate new ideas and approaches.
Develop and maintain data pipelines, inference workflows, and other automation components.
Continuously learn and apply emerging technologies to enhance solution effectiveness.
Contribute to a culture of innovation, experimentation, and continuous improvement.

What We’re Looking For

Proven experience in AI/ML solution development, ideally in a fast-paced or enterprise environment.
Strong programming skills in Python and demonstrated ability to use SQL for complex data tasks.
Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
Ability to think analytically and solve complex problems with creativity and rigour.
Excellent communication skills to articulate technical concepts to diverse audiences.
A proactive mindset and eagerness to learn new tools and techniques.

Inclusion and Accessibility
LSEG is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require any accommodations during the recruitment process, please let us know—we’re here to support you.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

","hiringOrganization":{"@type":"Organization","name":"LSEG","sameAs":"https://www.lseg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-Bangalore-TowerE,RMZ Infin, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer- Machine Learning Platform","datePosted":"2025-09-15","description":"

Company Description

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

Job Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions, and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

This opportunity is in Visa's Machine Learning Platform. The Machine Learning Platform provides soft infrastructure support to Visa's data scientists and researchers. We enable the training of statistical and machine learning models via development and maintenance of a distributed computing stack. Frameworks used in the stack are: Kubernetes, Ray, Torch, Tensorflow, XGBoost, and Spark. Development is primarily in Python and Go.

We are a cross-functional team that interfaces both with internal data science and research clients as well as other hard and soft infrastructure teams.

Responsibilities Include:

-Monitoring of infrastructure health and problem solving to address persistent or urgent issues
-Platform stabilization, including unit and integration testing
-Interfacing with Kubernetes and data platform teams
-Implementation of new infrastructure features

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualification:

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

Preferred Qualifications:

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Bachelor's degree in computer science, data science, statistics, or related field
Masters' degree in computer science, data science, statistics, or related field
Proficiency in Python
Experience training ML models
Experience with Conda highly preferred
Experience with Ray highly preferred

Additional Information

Work Hours: Varies upon the needs of the department.

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

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $145,200.00 to $204,900.00 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

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

Job Description

The Opportunity:

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

Essential Functions:

Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development including:
Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

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:
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Exposure to leading-edge areas such as Machine Learning, Big Data, Distributed Systems or SRE.
•Experience in at least one of the following: Python, Golang, Java, or C/C++
•Familiarity with web service standards and related patterns (REST, gRPC)
•Experience implementing solutions for low-latency, distributed services using open standard technologies.

Additional Information

Work Hours: Varies upon the needs of the department.

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

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $130,700 to $184.400 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.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer – Road & Lane Detection","datePosted":"2025-09-15","description":"

Meet The Team

At Torc Robotics, we're on a mission to revolutionize freight movement through safe, efficient, and reliable autonomous driving technology. Backed by Daimler Truck, we are industry leaders in Level 4 autonomous vehicle systems, with decades of innovation and a clear path to commercialization. Join our growing Model Development team and directly contribute to our world-class machine learning systems for Road & Lane detection– a critical function in enabling AV perception and path planning.

We are seeking a highly motivated Senior Machine Learning Engineer to join our Road & Lane Detection team focused on developing robust models that predict static and semi-static road features (lanes, intersections, boundaries, driveable space, etc). You will be responsible for designing and implementing state-of-the-art deep learning models that enable our autonomous vehicles to understand and anticipate road structures in diverse environments.

This is a hands-on applied research and development role, with direct impact on Torc’s core autonomy stack.

What You’Ll Do

Design, train, and deploy deep learning models for road and lane topology prediction, including drivable space, lane boundaries, and intersection structures.
Build and optimize neural network architectures that leverage multi-modal sensor data (camera, LiDAR, radar) and SD/HD map context.
Collaborate with teams across perception, mapping, planning, and systems integration to ensure seamless performance in real-world autonomous driving.
Lead model ablation studies, error analysis, and performance validation using large-scale simulation and real-world datasets.
Develop tooling and workflows to automate training, experimentation, and evaluation of ML models.
Mentor junior engineers and contribute to technical leadership within the ML modeling group.

\n\n\n\n\n\n

What You’ll Need to Succeed

Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience
Hands on experience with segmentation tasks like lane prediction, free space segmentation, etc.
State of the Art AV experience with multi-sensor data, especially in perception systems for autonomous vehicles or robotics.
Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
Proficiency in Python, and familiarity with modern ML Ops tools and GPU-based training.
Prior experience in autonomous driving, robotics, or similar safety-critical domains.
Experience with LiDAR, radar, or 3D spatial data processing.
Knowledge of performance metrics for perception and prediction tasks (IoU, FDE, ADE, mAP).

\n\n\n\n\n\n\n\n\n

Bonus Points

PhD in machine learning or data science
Proficient in writing CUDA kernels and developing custom PyTorch operations.
Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
Proficiency with Ray
Publications or contributions to open-source ML projects.
C++ skills or experience integrating ML into production autonomy systems.

\n\n\n\n\n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Torc Robotics","sameAs":"https://torc.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, Quebec, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer – Action Models and Generative AI – Microsoft Research AI Frontiers","datePosted":"2025-09-15","description":"

Microsoft Research AI Frontiers lab is seeking applications for the position of Senior Machine Learning Engineer – Action Models and Generative AI to join their team in New York, NY.

The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models, generative AI, and learning agent platforms. Some of our projects include work on language models (e.g., Phi, Orca), action models (e.g., for racing, gaming, and office productivity), multi-agent systems (e.g. AutoGen), and evaluation (e.g., Eureka).

We are seeking a Senior Machine Learning Engineer to join our team and advance the state-of-the-art in foundation models and Generative AI for actions and behavior. Our domains of interest include: web/OS agents, gaming agents, and real-time control for racing. Our ongoing research areas include but are not limited to:

Novel architectures and representations for efficient and generalizable learning of action models
Multi-scale temporal reasoning and planning in transformer models
Pre-training methods for video generation and world modeling
Continual learning and adaptation at human speed
Specializing models to capture individual human behavior and style
Steering models towards specific behaviors via natural language instruction

As a Senior Machine Learning Engineer on our team, you will work hands-on on challenging and impactful projects. You will apply your engineering skills and expertise to a range of problems including rapid prototyping and testing of research hypotheses, contributing to, releasing, and maintaining high-quality open-source models and frameworks, and building and deploying robust practical solutions to real world problems. Additionally, you will collaborate closely with other researchers, engineers, and product teams across the company to amplify your impact and grow your career in a supportive and stimulating environment.

Microsoft Research offers a vibrant environment for cutting-edge, multidisciplinary research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world. 

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Apply Machine Learning (ML) engineering skills to build, test, and deploy robust and scalable AI-based technologies, libraries, and applications.
Work closely with researchers and engineers to rapidly prototype and test new AI research ideas, driving a high-impact agenda and publishing results where appropriate.
Collaborate hands-on with other researchers, engineers, and internal and external product group partners on high-impact projects that deliver real-world impact to people and society.
Embody our culture and values.

Qualifications

Required Qualifications

Bachelors in Computer Science or relevant field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java
4+ years of industry or academic experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics.
2+ years of industry or academic experience with common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or Hugging Face.
2+ years of industry or academic experience with building, debugging and optimizing large, high performance ML training pipelines.
OR  equivalent experience.

Preferred Qualifications

Masters in Computer Science or relevant field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java
Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies. Providing a link to a GitHub profile (if available) and/or code samples, is highly encouraged.
Deep understanding of deep learning model architectures, especially transformers and state space models.
Hands-on experience building and working with large foundation models such as Large Language Models (LLMs), Large action models (LAMs), or multimodal models, including pre-training, fine-tuning, and inference.
Experience using and supporting ML infrastructure including job schedulers, big data storage, low latency interconnects, and large clusters of Graphics Processing Units (GPUs).
Experience with high-frequency simulation environments such as for gaming or racing.
Experience publishing academic papers at relevant conferences and journals (such as NeurIPS, ICML, ICLR, AAAI, ACL).
Ability to work independently and ramp-up quickly on complex, unfamiliar code.
Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
Keen interest in real-world applications and impact, and/or experience working in a commercial software product team.
OR Doctorate (or currently pursuing) in Computer Science or relevant field AND 2+ years technical engineering experience as above
OR equivalent experience.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 the role until September 29, 2025.

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.

#Research

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Meet The Team

This is a hands-on applied research and development role, with direct impact on Torc’s core autonomy stack.

What You’Ll Do

Design, train, and deploy deep learning models for road and lane topology prediction, including drivable space, lane boundaries, and intersection structures.
Build and optimize neural network architectures that leverage multi-modal sensor data (camera, LiDAR, radar) and SD/HD map context.
Collaborate with teams across perception, mapping, planning, and systems integration to ensure seamless performance in real-world autonomous driving.
Lead model ablation studies, error analysis, and performance validation using large-scale simulation and real-world datasets.
Develop tooling and workflows to automate training, experimentation, and evaluation of ML models.
Mentor junior engineers and contribute to technical leadership within the ML modeling group.

\n\n\n\n\n\n

What You’ll Need to Succeed

Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience
Hands on experience with segmentation tasks like lane prediction, free space segmentation, etc.
State of the Art AV experience with multi-sensor data, especially in perception systems for autonomous vehicles or robotics.
Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
Proficiency in Python, and familiarity with modern ML Ops tools and GPU-based training.
Prior experience in autonomous driving, robotics, or similar safety-critical domains.
Experience with LiDAR, radar, or 3D spatial data processing.
Knowledge of performance metrics for perception and prediction tasks (IoU, FDE, ADE, mAP).

\n\n\n\n\n\n\n\n\n

Bonus Points

PhD in machine learning or data science
Proficient in writing CUDA kernels and developing custom PyTorch operations.
Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
Proficiency with Ray
Publications or contributions to open-source ML projects.
C++ skills or experience integrating ML into production autonomy systems.

\n\n\n\n\n\n\n

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
AD+D and Life Insurance

\n","hiringOrganization":{"@type":"Organization","name":"Torc Robotics","sameAs":"https://torc.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ann Arbor, Michigan, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer [MARTECH]","datePosted":"2025-09-15","description":"

We are growing our Personalized Engagement squad inside the Global AI department to accelerate the development, deployment, and monitoring of machine learning models that drive marketing optimization at HelloFresh. Our team specializes in building intelligent systems for the marketing organization that personalize discounts and promotional incentives to improve customer engagement, retention, and reactivation. As part of the Global AI organization, we collaborate with data scientists, ML engineers, and data engineers to build scalable ML products and automated pipelines using modern tools like AWS, Spark, Prefect, and Databricks.

You Will …

Build tooling and automation that enables other engineers and scientists on our squad to develop and test machine learning products (e.g. pricing models, reinforcement learning, recommender systems, propensity models, etc.).
Build end-to-end pipelines comprising data collection, feature engineering, model training, model evaluation, model scoring, and deployment.
Deploy and monitor models in production (e.g. building artifacts, measuring model drift, integrating with CI/CD, etc.).
Support and consult data scientists regularly to ensure successful adoption of our ML tooling.

You Are…

A proactive, solution-oriented contributor in an agile, engineering-driven team, working closely with product managers, data scientists, and business intelligence partners.
Eager to bridge the gap between experimentation and production—turning research into impactful, real-world products.
Invested in understanding HelloFresh’s core business and customer experience, so you can help deliver value where it matters most.

You Have…

BSc or MSc in STEM discipline with relevant commercial experience.
Minimum 4 years of commercial experience building machine learning models.
Advanced knowledge of models for classification, regression, and time-series forecasting (e.g. Gradient Boosting, Random Forests, Lasso Regression, Prophet, etc.).
Experience deploying ML to production.
Demonstrated experience building software with Python and proficiency with data and ML-related open-source libraries such as Pandas, Scikit-Learn, XGBoost/CatBoost, TensorFlow, PyTorch.
Demonstrated experience implementing good software engineering practices (e.g. version control, code modularity, testing, …).
Experience working with Cloud infrastructure (e.g. AWS, GCP, Azure).
Experience with Apache Spark.
Experience with deep learning techniques is a plus.

You’Ll Get…

Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
Generous PTO, including sabbatical, and parental leave of up to 16 weeks
Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
Tuition reimbursement for continuing education
Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

New York Pay Range$161,300—$201,600 USD","hiringOrganization":{"@type":"Organization","name":"HelloFresh","sameAs":"https://www.hellofresh.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer - AI/ML Platform","datePosted":"2025-09-15","description":"The Hendrix ML Platform team is dedicated to developing a robust, Spotify-wide platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.\n

What You'Ll Do

Contribute to Spotify ML Platform SDK and build tools for various ML operations.
Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets.
Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
Designs, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities.

Who You Are

You have 6+ years of hands-on experience implementing production ML infrastructure at scale in Python, Go or similar languages.
You have knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch or TensorFlow
You have an understanding of distributed training leveraging GPUs and Kubernetes
You have a general understanding of data processing for ML
You have experience with agile software processes and modular code design following industry standards

Where You'Ll Be

This role is based in Toronto, Canada
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.","hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://spotifyjobs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-15","description":"

Overview

Half the world still lacks access to essential health services, and even in the most advanced systems, outcomes remain uneven while clinicians face mounting pressure. Every inefficiency and preventable error represents a chance to do better: to save lives, restore time to clinicians, and rebuild trust in healthcare. Medical knowledge is doubling every few months, but the supply of expertise cannot keep pace.

At Corti, we believe the only scalable way to solve this is to expand access to medical expertise through specialized AI infrastructure. By embedding our platform into the applications and workflows that clinicians and patients rely on, we help eliminate unnecessary administration, prevent diagnostic mistakes, and make healthcare more affordable, accessible, and ultimately more human again.

There is no quality healthcare without a quality dialogue and now, no reliable AI without a robust platform. We need you to help us build both.

Why Corti?

Corti is becoming the premier infrastructure company for healthcare AI. Unlike general purpose players on the market, our models are trained on real-world healthcare data and delivered through modular, accurate and compliant APIs that developers, innovators, and product teams access easily - and most importantly, trust.

We focus on the foundation - serving the builders who are reshaping healthcare. From startups rethinking patient flows to enterprises modernizing legacy systems, Corti provides the safe, reliable intelligence they need to innovate at scale.

We thrive on the toughest challenges, from making clinical reasoning more reliable to designing infrastructure that meets the highest global standards for safety and trust. If you’re excited by developer-first design, clinical-grade reliability, and shaping the foundation of healthcare’s future - then Corti is the place for you.

At Corti, we are growing fast and always looking for skillful people to ensure we go in the right direction. If you enjoy working in an autonomous and collaborative team, guided by shared values and a willingness to act, iterate, and learn, then join us at Corti as a Senior Machine Learning Engineer

📌 As a Machine Learning Engineer, you will be part of our machine learning R&D team and work closely with our product teams. The machine learning R&D team consists of seasoned engineers as well as several Ph.D. students and postdocs collaborating with Danish and international universities. Our product teams are cross-functional and own product discovery and delivery end-to-end.

You can read more about our research and publications here: https://corti.ai/company/research

Our vision, products, and solutions to enrich patient consultations are described here: https://corti.ai/

In this role, you will work alongside our other machine learning engineers and researchers, developing new models, implementing state-of-the-art research outputs, and translating those outputs into tangible product outcomes. For example, you might be involved in the prototyping a new machine learning-based product feature in collaboration with other teams. Or you might work independently on taking state-of-the-art research and assessing how well it works in Corti’s domain. There are many possibilities and plenty of room for creativity and bringing in your own ideas.

The impact you'll have

Develop prototypes based on cutting-edge applied machine learning working on audio, text, and structured data sources.
Own the technical translation of state-of-the-art machine learning innovations to inform the development of new product features.
Design and implement well-defined APIs for new machine learning tools to make them available for customers and across the organization.
Participate in research ventures and drive publication at top machine learning venues or impactful digital medicine journals.
Improve healthcare globally as part of your daily work.

You'll thrive in this role if you have the following

A higher university degree or Ph.D. in computer science, computer engineering, mathematics, statistics, physics, or a related interdisciplinary field.
In-depth experience with Python and strong command of data structures and algorithms in order to contribute to production-grade code.
In-depth knowledge of one or more of the major machine learning frameworks (e.g., PyTorch or TensorFlow).
Experience building agents or agentic workflows
Ability to manage machine learning research projects and clearly communicate outcomes to technical and non-technical audiences.

Nice To Have

Publication history at top machine learning venues (e.g., NeurIPS, ACL, or digital medicine journals) that shows that you can drive research projects.
Hands-on experience with automatic speech recognition or natural language processing.

Practicalities

The work location for this position is preferred in Copenhagen, but we can be flexible with the right candidate.
This is a full-time position, starting as soon as possible.

Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world.

🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status.

At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying!

","hiringOrganization":{"@type":"Organization","name":"Corti","sameAs":"https://www.corti.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Copenhagen, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-15","description":"

Overview

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

Responsibilities

Job Description:

\n\n

Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning model optimization to deliver innovative solutions to real-world challenges. This role requires expertise in large language models (LLMs), AI agent workflows, and the development of efficient AI solutions. The position is primarily on-site, with potential for hybrid work based on project needs.

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Job Duties Include (but not limited to):

Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation.
Design and fine-tune machine learning models to enhance performance and effectiveness.
Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques.
Develop and integrate AI agents into data workflows, leveraging state-of-the-art frameworks.
Apply advanced prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, and retrieval-augmented generation.
Utilize frameworks like LangChain and DSPy to design, test, and optimize prompts.
Address token limitations, cost trade-offs, and model-specific constraints across various LLMs (ChatGPT, Claude, Llama, Mistral, etc.).
Implement model fine-tuning methods, including soft prompting, adapters, and supervised fine-tuning.
Develop AI-driven automation workflows using agent-based architectures and frameworks such as LangGraph and OpenAI function calling.
Write, test, and maintain Python code for AI model development and integration.
Utilize version control systems (Git) to manage code changes and collaboration

Qualifications

Required Skills & Experience:

Minimum of 5 years of experience in machine learning, AI model development, or related fields.
Proficiency in prompt engineering and LLM optimization techniques.
Hands-on experience with frameworks such as LangChain, DSPy, and LangGraph.
Strong understanding of AI workflow automation and agent-based architectures.
Solid Python programming skills and experience with version control (Git).
Familiarity with Agile development methodologies.
Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Desired Skills And Experience:

Master’s, Ph.D, or coursework/certifications in a related field
Familiarity with reinforcement learning and other advanced ML techniques.
Experience deploying AI models in production environments.

Education & Certifications:

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.

Security Clearance:

An active TS/SCI security clearance is REQUIRED. Candidates without this clearance will not be considered.

Benefits:

National Health, vision and dental plans
20 days of PTO and 11 paid holidays
Life Insurance
Short – and long-term disability plans
401(K) retirement plans
Incentive and recognition programs
Relocation opportunities

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

","hiringOrganization":{"@type":"Organization","name":"Iron EagleX","sameAs":"https://www.ironeaglex.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Crystal City, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer - Italy","datePosted":"2025-09-14","description":"Are you looking for a new challenge?Fancy helping us shape the future of motor insurance?Prima could be the place for you.
Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 4 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
To help fuel that growth, we need a Senior Machine Learning Engineering to join our Engineering Team.
This team is the beating heart of Prima.
You’ll be joining over 200 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
Excited to make an impact? Here are the details\n

What You Will Do

Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
Growing, reading, and experimenting to always be up to speed with emerging technology.

What We’Re Looking For

A robust programming background, spotlighting your prowess in Python;
A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;Exceptional command of the English language.

Nice-To-Have

Alongside the essential prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.

Why you’ll love it here:
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
🤸 Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now.
At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at talent.acquisition@prima.it. Let’s build the future of insurance, together.","hiringOrganization":{"@type":"Organization","name":"Prima","sameAs":"https://www.helloprima.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milan","addressCountry":"Italy","addressRegion":"Europe"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer-AI, ML & Python, PyTorch","datePosted":"2025-09-14","description":"

Software Senior Principal Engineer

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as a Senior Machine Learning Engineer on our Software Engineering Team in our Client Solutions Group.

What you’ll achieve
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that power intelligent tools and features across our products. This role requires strong technical expertise, a collaborative mindset, and a passion for solving real-world problems using data.

You Will:

Design and implement AI algorithms and models for real-world applications (e.g., NLP, computer vision, recommendation systems).
Collaborate with cross-functional teams to integrate AI solutions into products and services.
Optimize and scale machine learning models for performance and efficiency, maintain and improve existing AI systems through continuous learning and feedback loops.
Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
Write clean, maintainable, and well-documented code, participate in code reviews, testing, and deployment processes.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
12-18 years of combined experience in the architecture, design and development of BIOS Firmware, Artificial Intelligence, Machine Learning, or related field with bachelor’s or master’s degree.
Strong programming skills in Python (preferred), C++, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Solid understanding of data structures, algorithms, and software engineering principles.
Experience and deep learning, reinforcement learning, or generative models.
Knowledge of MLOps practices and tools. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).

Desirable Requirements

Prior experience deploying AI models in production environments preferred.
Contributions to open-source AI projects or published research preferred.

Who We Are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 06 Oct 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

","hiringOrganization":{"@type":"Organization","name":"Dell Technologies","sameAs":"https://www.delltechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer- Trajectory Generation","datePosted":"2025-09-13","description":"

We are looking for a Senior Machine Learning Engineer to develop and optimize deep learning models that advance the state of the art in data-driven planning and control for autonomous driving. You will design, implement, and deploy machine learning systems for real-time trajectory generation in autonomous vehicles. This role involves solving challenging planning and control problems in resource-constrained, on-vehicle environments.

What You Will Work On

Research, design, implement, optimize and deploy deep learning models that advance the state of the art in data-driven control algorithms for trajectory and path generation.
Designing reward functions to improve vehicle behavior.
Developing tools and metrics to analyze system errors and measure performance improvements
Optimizing model and system performance for real-time inference
Participating in code and design reviews

Minimum Qualifications

Master’s or Ph.D. in Robotics, Computer Engineering, or a related field

Required Skills

Proficiency in both C++ and Python
Strong understanding of trajectory optimization, reinforcement learning algorithms and imitation learning
4+ years of experience in designing, training, and deploying ML models
Self-motivated with strong problem-solving skills
Eager to stay current with emerging technologies and committed to continuous learning.
Conference or Journal publications in Machine Learning or Robotics-related venues

Bonus Points

Experience with autonomous driving applications in areas such as perception, prediction, planning, or simulation
Experience with CUDA and inference optimization for real-time systems
Publications in reinforcement learning (RL), inverse reinforcement learning (IRL), optimal control, or robotics

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range$168,000—$225,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://motional.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote U.S.","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer-Perception","datePosted":"2025-09-13","description":"

On our Perception Team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’Ll Be Doing:

You drive project level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving.

On a daily basis, you will:

Helps define and influence the direction of the team based on technology and business needs
Connect and drive project level impact through technology solutions
Formulate problems, architect solutions, and design processes
Prototype, evaluate, implement, and iterate on solutions
Familiar with state of the art solutions and systems for autonomous vehicles
Productionize and deploy solutions onto autonomous vehicle fleets
Collaborate with other team members and grow junior engineers

What We’Re Looking For:

Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
In-depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Experience with PyTorch or other deep learning frameworks
Experience working with large data sets and deriving insights from data
Experience mentoring and collaborating with others

Bonus Points

Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
PhD in machine learning, computer vision, or robotics vision
Experience working on autonomous vehicles, or related fields
Experience in deploying models into real-world environments
Strong programming skills in C++ and/or CUDA programming

\nWorking Conditions\n

This opportunity can support remote work within the United States, with occasional travel.
While performing the duties of this job, the employee is frequently required to convey and detect communication
The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment
The employee may occasionally move up to 50 pounds

Salary Range$136,500—$225,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

Higher purpose, greater impact.

Scale up, not starting up.

","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://motional.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer - Behaviors","datePosted":"2025-09-13","description":"

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’Ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

Designing and executing high value experiments based on collaborative input from other machine learning engineers
Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
Timely release of major model updates, including analysis of both off-line and on-road evaluation data
Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’Re Looking For:

In-depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
Experience with PyTorch or other python-based deep learning frameworks
Experience working with large data sets and deriving insights from data
Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
PhD in machine learning, computer vision, or robotics vision
Experience working on autonomous vehicles or related fields
Experience in deploying models into real-world environments
Strong programming skills in C++ and/or CUDA programming
This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

Salary Range$146,000—$225,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

Higher purpose, greater impact.

Scale up, not starting up.

","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://motional.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.","addressCountry":"United States","addressRegion":"North America"}}}}]}

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