{"@context":"https://schema.org","@type":"ItemList","name":"Principal Software Engineer - Job Description, Salary, Skills, Prospects","description":"Explore the role of a Principal Software Engineer, including job responsibilities, salary range, required skills, and future prospects. Find exciting opportunities in software development and architecture.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Principal Applied Scientist","datePosted":"2025-08-01","description":"Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We are looking for a Principal Applied Scientist for the Microsoft Teams Calling, Meeting & Devices group.

This person will collaborate with a multi-functional group to deliver next generation innovations and experiences leveraging, fine tuning and prompt engineering foundation models. Partner with product and engineering teams to invent and deliver on the future for Microsoft CoPilot and other generative AI products. If yes, you'll love this opportunity.

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

Responsibilities

Design, implement, validate, and ship AI-powered features end-to-end for Microsoft Teams across desktop, web, and mobile clients.
Collaborate with Program Managers, Designers, and Researchers to define product requirements, timelines, and measurable success criteria.
Maintain and improve system performance, reliability, latency, and scalability of AI-powered features in production.
Participate in code reviews, debugging, telemetry reviews, and continuous delivery processes.
Champion a culture of scientific rigor, ethical AI, and innovation across the team.
Communicate scientific findings and technical designs clearly to product and engineering leadership.
Drive exploration of hybrid AI experiences (cloud + edge + LLM) for responsiveness, privacy, and enterprise value.
Experience prompt tuning, fine tuning and RAG system development, experience with Evaluation, A/B testing, Experimentation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
4+ years of experience in software development, preferred hands on experience on developing AI Applications
Experience in applied science experiments, create and validate metrics, work with ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.

Other Requirements:

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

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Develop and deploy conversational and language understanding models at scale.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Experience with commercial product development with a focus on user experiences.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 August 8, 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.

THE DAY-TO-DAY

Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

Experience: 7+ years of experience building and deploying machine learning models at scale.
Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

Not the right position for you? Check out our other opportunities! Viant Careers
#LI-KP1
About Viant
Viant Technology Inc. (NASDAQ: DSP) is a leader in AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of ViantAI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best Demand-Side Platform by MarTech Breakthrough, Great Place to Work® certification and received the Business Intelligence Group’s AI Excellence Award. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
By clicking “Apply for this Job” and providing any information, I accept the Viant California Personnel Privacy Notice. ","hiringOrganization":{"@type":"Organization","name":"VIANT","sameAs":"https://www.viantinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Principal Applied Scientist","datePosted":"2025-08-05","description":"How would you like to do the AI research and directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you.
Our team focuses on strategic workloads like M365 Copilot App, OneNote and Copilot Notebooks.  The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. 

Our team of Principal Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models.  The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field.  

Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 

The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system.

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.\n

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years of working in an AI research facility or working with software services / experiences infused with AI. 
Solid customer focus and passion for doing the right thing for the customer.
Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.
Excellent communication skills and cross group collaboration.
Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques.
Experience in developing / working with highly scalable classifiers, ranking algorithms, SL.

Other Requirements:

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

Preferred Qualifications:

PhD with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)    
- OR Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR equivalent experience.

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

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

As Microsoft continues to push the boundaries of AI, we are looking for passionate individuals to work with us on new strategic efforts. Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, the Microsoft Graph, and the web to drive unparalleled creativity and transform productivity in the enterprise.

As a Principal Applied Scientist you will design and develop LLMs (Large Language Model) and underlying subsystems to tailor to various product scenarios. We are looking for an individual who has the proven capability of working with research and engineering teams and partnering with them to deliver the best of joint class solutions. This can range from alignments with senior stakeholders, working together to building models, to coming up, with ways to build custom LLMs and architecture for specific product needs (especially GenAI).

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
Collaborate with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements.
Lead implementation and deployment of solutions, ensuring they meet quality standards. Translate project vision into actionable milestones and guide the team in project estimation and planning. Mentor and guide team members to produce extensible and maintainable code through code reviews and pair programming.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
5+ years experience conducting research as part of a research program (in academic or industry settings).
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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 and processes offers for these roles on an ongoing basis.

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

#agentic #llm #M365Core #MSAI

We are seeking a Principal Applied Scientist to join our team of Applied Scientists and Data Scientists. If you are interested in being part of a team that bridges the gap between research and product to help our customers thrive in the age of AI, come join us!

In this role you will conduct and source research needed to back Viva Insights product directions with science and uncover innovative ideas for product growth. This role is ideal for someone who thrives at the intersection of research and product, and who is passionate about using organization science, computational social science, behavioral analytics, and AI to shape the future of work. You will lead initiatives that drive product innovation, customer impact, and scientific credibility in the organizational productivity space.

This role is located on-site at the Redmond campus, and supports up to 50% work from home and minimum 50% work in the office.

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

Responsibilities

Product Strategy & Scientific Grounding: Shape product direction by integrating rigorous scientific methods into the product lifecycle. Use applied science and data analysis to identify opportunities for innovation and guide investment decisions.

AI Transformation & Agentic Systems: Lead initiatives that leverage AI and agentic technologies to empower employees and organizations. Apply advanced behavioral analytics, ML/AI techniques and experimentation to understand and solve strategic business problems. Develop and evaluate prototypes with target users and integrate into product.
Customer-Centric Innovation: Engage directly with customers to understand their needs and translate them into actionable insights that inform product development and strategy. Ensure that AI research and development align with customer expectations and business goals.
Cross-Functional Collaboration: Partner with product managers, UX researchers, and engineers to embed scientific thinking into every stage of product development. Mentor scientists and contribute to a culture of scientific excellence and innovation.
Thought Leadership: Represent Microsoft internally and externally through scholarly publications, talks, and collaborations that showcase our leadership in AI-driven organizational transformation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

Experienced developing and deploying working prototypes to gather early feedback. Ability to integrate prototype code into production code.
Experienced building consumer and/or enterprise grade AI solutions (ex: M365 Copilot).
Experienced in Foundational models (fine tuning LLMs/SLMs), Agentic Systems, NLP, Causal Inference, Behavioral analytics and experimentation, Organizational Network Analysis.
Experienced in incubation and experimentation, with a focus on leveraging behavioral collaboration data to solve strategic business problems.
A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, WWW, CHI, PNAS, Nature).
Experience applying research with leveraging large-scale application of new ideas over theory and prototypes.

Preferred Qualifications:

Experience with working with customers directly to understand their problems and exploring solutions within the context of the product.
Self-driven and show the ability to deliver on ambiguous projects with incomplete data.
Problem-solving skills and ability to join qualitative and quantitative thinking with an obsession for improving our customer experience.
Communications & interpersonal skills. Ability to communicate complex analysis & insights to senior leaders and business decision makers, as well as practitioners and academic researchers.

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

#VivaEXP

#DPG

Our team is responsible for the core systems that power Microsoft 365 Copilot Chat delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering—advancing orchestrator reasoning, training next-generation models, and shipping impactful, model-driven experiences in Microsoft 365 Copilot.

As a Principal Applied Scientist, you will:

Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond
Advance the state of the art in model training—including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and experimentation with frontier model training
Build and deliver model-driven features from concept to production—spanning model development, evaluation, metrics, and A/B testing

Recent launches like Analyst Agent in Microsoft 365 Copilot showcase the breadth and depth of impact you’ll drive across the stack.

We’re hiring applied scientists who are passionate about deep learning, NLP (natural language processing), multimodality model, and model optimization. Come build the next generation of AI with us.

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

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving.
You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

4+ years of experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
4+ years experience with shipping internet scale, low latency and high throughput systems AI products.
4+ years experience with customer/End-result/Metrics driven in design and development.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Publications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 and processes offers for these roles on an ongoing basis.

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

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

#msturingjobs #msai #M365CORE

Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond
Advance the state of the art in model training—including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and experimentation with frontier model training
Build and deliver model-driven features from concept to production—spanning model development, evaluation, metrics, and A/B testing

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving.
You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

4+ years of experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
4+ years experience with shipping internet scale, low latency and high throughput systems AI products.
4+ years experience with customer/End-result/Metrics driven in design and development.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Publications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 August 25, 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. 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.

#msturingjobs #msai #M365CORE

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist.

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems.

In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You’ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You’ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

The ideal candidate has prior expertise in natural language processing (NLP), with a strong foundation in large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment, leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Responsibilities

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.
Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.
Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence.
Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement.
Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.
Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.
Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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

#BICJobs

Microsoft Copilot Studio and Microsoft 365 Copilot are groundbreaking tools that leverage the power of large language models, combined with (real-time) enterprise business data to drive unparalleled innovations in productivity, including autonomous actions in business processes in the enterprise. As these agents proliferate, businesses face unprecedented challenges. These agents must collaborate seamlessly with humans, frequently using the same applications for collaboration and lines of business systems without introducing friction or security risk. Agents also require contextual, real-time data access to make decisions, yet must do so with the guardrails necessary to align with an organization’s risk tolerance.

We are looking for Principal Applied Scientist to join our team. The role reports directly to the CTO and VP of the organization.

In this role, you will experiment with and fine-tuning models, to build end-to-end SaaS product scenarios enabling enterprise productivity and agents taking actions while ensuring enterprise security and governance capabilities for AI.

We are looking for an individual who has experience in collaborating with research and product engineering teams to deliver best of class innovative product solutions. This can range from alignments with stakeholders, working together to build and fine-tune models, developing advanced RAG techniques, to coming up with ways to build custom generative AI architectures for specific product needs.

Responsibilities

Responsibilities include:  

• Reviewing business and product requirements, incorporating research, and providing strategic direction for problem solving, and depending on situation also hands-on prototyping and applied science development techniques to create or develop novel applications of AI in products. You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• Collaborating with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions.
• Documenting work and experimentation results (offline experimentation as well as in production online experimentation) and share findings to promote innovation. You will provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
• Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements.
• Lead implementation and deployment of solutions, ensuring they meet quality standards. Translate project vision into actionable milestones and guide the team in project estimation and planning.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
2+ years experience with transformer-based models (e.g., GPT, Llama).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
5+ years experience conducting research as part of a research program (in academic or industry settings).
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.

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

#BICJOBS #BACJOBS

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist.

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You’ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You’ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

Responsibilities

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.

Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.

Guide investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence.

Build alignment and trust across leadership and cross-functional teams through clear communication and collaborative engagement.

Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.

Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.

Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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

Single reqs: Microsoft will accept applications for the role until August 17, 2025.

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

#BICJobs #MCSJobs

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Our team focuses on strategic workloads like M365 Copilot App, OneNote and Copilot Notebooks.  The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. 

Our team of Principal Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models.  The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field.  

Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 

The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system.

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.\n

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years of working in an AI research facility or working with software services / experiences infused with AI. 
Solid customer focus and passion for doing the right thing for the customer.
Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.
Excellent communication skills and cross group collaboration.
Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques.
Experience in developing / working with highly scalable classifiers, ranking algorithms, SL.

Other Requirements:

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

Preferred Qualifications:

PhD with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)    
- OR Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR equivalent experience.

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

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

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
Collaborate with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements.
Lead implementation and deployment of solutions, ensuring they meet quality standards. Translate project vision into actionable milestones and guide the team in project estimation and planning. Mentor and guide team members to produce extensible and maintainable code through code reviews and pair programming.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
5+ years experience conducting research as part of a research program (in academic or industry settings).
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.

Microsoft will accept applications for the role until August 18, 2025.

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

#agentic #llm #M365Core #MSAI

This role is available in either Redmond, WA or Mountain View, CA.

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Bing Users, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad retrieval, ad relevance and optimize both user and advertiser experiences.

Responsibilities

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions, ad retrieval and relevance across Microsoft Ads and Copilot.
Design scalable algorithms for online and offline systems, delivering innovative solutions for ad selection, matching quality, and ad generation.
Drive experimentation through A/B testing and offline validation to evaluate model performance.
Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
6+ years of experience in developing and deploying large-scale machine learning models.
6+ years working experience in statistical natural language processing (NLP) with latest deep learning technologies including transformer and LLMs.
6+ years working experience with coding in production systems using C++, C#, Java, Python or any other programming language.

Preferred Qualifications:

Proven experience developing end to end analytics solutions or ML systems for real world applications.
Proven experience in programming and data analysis skills.
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
Proven experience in online advertising.

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

This role is available in flexible locations in the US such as Redmond, WA, Mountain View, CA or New York, NY.

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Bing Users, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad retrieval, ad relevance and optimize both user and advertiser experiences.

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

Responsibilities

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions, ad retrieval and relevance across Microsoft Ads and Copilot.
Design scalable algorithms for online and offline systems, delivering innovative solutions for ad selection, matching quality, and ad generation.
Drive experimentation through A/B testing and offline validation to evaluate model performance.
Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
6+ years of experience in developing and deploying large-scale machine learning models.
6+ years working experience in statistical natural language processing (NLP) with latest deep learning technologies including transformer and LLMs.
6+ years working experience with coding in production systems using C++, C#, Java, Python or any other programming language.

Preferred Qualifications:

Proven experience developing end to end analytics solutions or ML systems for real world applications.
Proven experience in programming and data analysis skills.
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
Proven experience in online advertising.

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

#MicrosoftAI

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist.

Do you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems.

The candidate should be comfortable working in a fast-paced, experimentation-driven environment, leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior. An understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Responsibilities

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.
Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.
Guide strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence.
Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement.
Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.
Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.
Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
Microsoft Cloud Background Check 
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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

#BICJobs

The Web Data Platform (WDP) is the data foundation of Bing and many Microsoft experiences, powering Bing Search, ads, Copilot, Grounding API to 1st Party and 3rd Party scenarios, deep research, LLMs (Large Language Models) training, etc.

Our mission is to deliver the world’s freshest, richest, and clean semantic understanding of the web document representation. Our work is central to understanding public web content and advancing the platform’s capabilities in tandem with state-of-the-art modeling. We are at the forefront of applying large-scale machine learning and large language models (LLMs) to understand and enrich web content, fueling critical Microsoft experiences and advancing the frontier of AI.

As part of our team you’ll work with some of the largest datasets. You’ll lead projects end-to-end—from ideation and experimentation to deployment; collaborating across teams to deliver real-world impact through cutting-edge ML and LLM technologies.

We’re a team with proven ability to translate business problems into machine learning solutions.

We are looking for individuals with

a proven background in natural language processing, information retrieval, or related fields.
hands-on skills in metrics definition, data labeling, model development, evaluation, model optimization, ship ML to product.
Foundation in software engineering fundamentals to build scalable, production-ready systems.

Join us to shape the future of AI and deliver meaningful value to millions of users.

Responsibilities

Lead innovation and development of AI models for document understanding, driving their application across critical business scenarios e.g., Search, Copilot, Deep Research Agency, Grounding API, etc.
Identify and execute opportunities in the Web Data space by applying machine learning at the scale of 100s of Billions of documents to hundreds of billions of documents to enhance quality, freshness, and richness.
Advance the state-of-the-art through:
- Defining and refining problem spaces.
- Scaling high-quality labeled data collection.
- Innovation in model architecture and design.
- Exploring novel learning objectives and tasks.
Drive end-to-end implementation of ML models—from prototyping to optimization and production deployment—at web-scale, processing billions to trillions of documents to deliver measurable business impact.
Collaborate closely with cross-functional partners across Microsoft to understand shared needs and shape a cohesive technical roadmap to address them.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Computer Science, or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Computer Science, or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Computer Science, or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
6 years of experience in product development, with a proven background in Software Engineering and Deep Learning
1(+) years experience with Large Language Model (LLM) prompts engineering and fine tuning small LLMs.

Preferred Qualifications:

Ability to think strategically and deliver tangible results with real-world impact.
Active research engagement in one or more of the following areas: Artificial Intelligence, Data Science, Information Retrieval, Machine Learning, or Natural Language Processing.
Experience with search and recommendation systems.
Deep understanding of modern ML techniques and architecture.

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

#MicrosoftAI #BING #Search #WebDataPlatform #DocumentUnderstanding #GTA

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist.

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems.

Responsibilities

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.
Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.
Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence.
Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement.
Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.
Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.
Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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

#BICJobs

The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist.

Responsibilities

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.

Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.

Guide investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence.

Build alignment and trust across leadership and cross-functional teams through clear communication and collaborative engagement.

Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.

Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.

Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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

#BICJobs #MCSJobs

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Teams and other Microsoft services). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Principal Applied Scientist who is passionate about machine learning and driven to make an impact.

Responsibilities

Apply machine learning to improve existing and develop new algorithms to improve Teams real-time collaboration quality and reliability and other Microsoft services.
Understand and be able to leverage core concepts of video and/or audio processing.
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Drive independent investigations resulting in shipping product code, patents, and publications.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Strong professional experience in machine learning using tools like Pytorch.
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.
Software development experience using Python.

Preferred Qualifications:

MSc or Ph.D. in Computer Science, Statistics, Mathematics, Physics or related field OR equivalent experience.
Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Software Development experience using C++.

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

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

The Business & Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

We are looking for a Principal Applied Scientist to join our team.

The BIC Agent Cloud organization at Microsoft is among the most thrilling to be a part of. BIC Agent Cloud products herald a new era of business applications that are data-initiated, AI-driven, built for collaboration, and simplify business problem-solving with low-code/no-code platforms. Our team is responsible for developing the platform for Dynamics 365 suite of business applications, and the Power Platform suite of low-code tools. We are at the vanguard of digital transformation, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions and product offerings. This new productivity era leverages the power of data, AI, and productivity tools to deliver unmatched experiences across all channels.

This role will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. You will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios.

Responsibilities

Responsibilities:

• Lead the design and development of advanced AI models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.
• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.  Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
• Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
•   Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
• Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.  
• Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

3+ years' experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and Reinforcement Learning (RLHF)
3+ years' experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

5+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.
A track record of delivering successful, large-scale applied ML projects in an industry setting.
Deep understanding of fundamental ML algorithms (supervised, unsupervised) and modern neural network architectures.
Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning.
A record of publication in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD).

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

#BICJOBS #BACJOBS

The Substrate Core Substrate team powers the infrastructure that underpins Microsoft 365’s most critical services and Copilot. We are a high-impact, forward-looking team focused on building intelligent, scalable, and cost-efficient platforms that enable Microsoft to deliver world-class productivity experiences to billions of users. Our mission is to drive operational excellence and innovation across the M365 fleet by leveraging AI, automation, and deep platform integration.

We are looking for a passionate and growth-oriented Principal Applied Scientist to join our team. As an Applied Scientist, you will play a pivotal role in transforming how Copilot features are delivered across Microsoft 365. You’ll be part of the team building the Substrate platform that powers M365 Copilot, developing scalable algorithms and machine learning pipelines that drive innovation across Copilot Search, BizChat, Connectors, and Agents (DAs). This is a unique opportunity to work at the intersection of platform engineering and applied science, helping shape the future of AI-powered productivity.

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

Responsibilities

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Experience in LLM is preferred.
Strong communication skill in both English and Chinese.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical
- OR Computer Engineering,
- OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical
- OR Computer Engineering,
- OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
5+ years experience conducting research as part of a research program (in academic or industry settings).
3+ years experience developing and deploying live production systems, as part of a product team.
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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

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

#M365Core

We are seeking a highly accomplished Principal Applied Scientist with deep expertise in large language models (LLMs)—including both text and multimodal systems—reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior individual contributor role for a thought leader who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. A strong publication record in top-tier AI and machine learning conferences or journals is required.

Responsibilities

• Lead the design and development of advanced AI models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, and long-term memory.
• Collaborate closely with engineering, product, and research teams to align scientific innovations with product strategy and roadmap.
• Mentor junior scientists and provide technical leadership across high-impact projects.
• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.

Qualifications

• Ph.D. (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 6+ years of experience in AI/ML, with a focus on LLMs, reinforcement learning, or agentic AI systems.
• Strong publication record in top-tier conferences/journals such as NeurIPS, ICML, ICLR, ACL, CVPR, TPAMI, or JMLR.
• Expertise in neural network architectures, self-supervised learning, model alignment, and evaluation methodologies.
• Experience with large-scale distributed training, model optimization, and deployment infrastructure.
• Familiarity with advanced techniques such as retrieval-augmented generation (RAG), model compression, or online/continual learning is a plus.
• Strong coding and prototyping skills (e.g., PyTorch, JAX, TensorFlow) and ability to collaborate with engineering teams on productization.
• Excellent communication and leadership skills in a cross-functional, fast-paced environment.

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

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

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence.

As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

Responsibilities

Collaborate with product managers to translate business and product requirements into AI projects.
Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
Coordinate with multinational teams to drive projects from research POC to production.
Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Lead and mentor both junior and senior applied scientists.
Develop production code and advocate for the best coding and engineering practices.
Participate in project planning, review, and retrospective sessions.
Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Qualifications and Experience

Demonstrated experience in designing and implementing scalable AI models for production.
Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
Experienced leading senior scientists and early-career scientists.

Preferred Qualifications

Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Education

PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR
Masters or Bachelor’s in related field with 5+ years relevant experience

Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!

Career Level - IC4

Responsibilities

Collaborate with product managers to translate business and product requirements into AI projects.
Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
Coordinate with multinational teams to drive projects from research POC to production.
Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Lead and mentor both junior and senior applied scientists.
Develop production code and advocate for the best coding and engineering practices.
Participate in project planning, review, and retrospective sessions.
Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

\nDisclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.

Now, as we expand rapidly, we're channeling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.

As our Senior / Principal Applied Scientist, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.

Responsibilities:

Lead the architectural design of AI solutions, ensuring scalability, reliability, and performance across complex projects.
Oversee and guide projects from inception to delivery, managing all aspects of the project lifecycle to ensure successful outcomes.
Make strategic decisions that shape the direction of AI projects, contributing to key decisions that are visible to and impact executives.
Work alongside fellow technical leaders to ensure the seamless and timely delivery of sophisticated models, while ensuring their successful integration into our cutting-edge services.
Coordinate with diverse, multinational teams to drive the projects from initial research and proof of concept to full-scale production, ensuring global impact.
Leverage the latest breakthroughs in generative AI, machine learning, and deep learning to create innovative healthcare services and applications that set new industry standards.
Design and review AI solutions with a focus on excellence, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes.
Lead and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.
Develop production-level code while advocating for the best coding and engineering practices, ensuring robust and scalable AI solutions.
Actively participate in project planning, review, and retrospective sessions, driving continuous improvement and strategic alignment.
Identify potential risks at the critical intersection of business and engineering, and take proactive measures to ensure our plans and executions stay on track.

Qualifications and Experience:

Demonstrated experience in designing and deploying scalable AI models for production, with a track record of success in real-world applications.
Proven experience in leading AI projects from conception to deployment, with a strong track record of delivering innovative solutions that meet business objectives.
Demonstrated ability to manage cross-functional teams, including data scientists, engineers, and stakeholders, to ensure the successful execution of AI initiatives.
Expertise in translating complex technical concepts into actionable strategies, ensuring alignment with organizational goals and timelines.
Exceptional problem-solving skills with the ability to navigate challenges and adapt strategies in fast-paced, evolving environments.
Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.
Hands-on experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.
Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
A strong commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production.
A robust publication record, including lead authorship in top-tier journals or conferences, demonstrating thought leadership and a deep understanding of AI research.
Proven experience in leading and mentoring both senior scientists and early-career researchers, fostering a collaborative and innovative team environment.

Preferred Qualifications:

Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications is highly desirable.
Familiarity with the latest advancements in computer vision and multimodal modelling is a valuable plus.

Education:

A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or final project focused on Machine Learning and Deep Learning, and 3+ years of relevant experience is preferred but not mandatory; OR
A Master’s or Bachelor's degree in a related field with 5+ years of relevant experience is also considered.

#LI-DNI

Career Level - IC4

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

","hiringOrganization":{"@type":"Organization","name":"Oracle","sameAs":"https://www.oracle.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Principal Applied Scientist – Search & Recommendations","datePosted":"2025-08-01","description":"About HighspotHighspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.
About the RoleWe are seeking a Principal Search & Recommendation Engineer to lead the design and evolution of intelligent systems that power discovery and personalization across the Highspot platform. This role combines deep technical expertise, cross-functional collaboration, and strategic impact to shape how millions of users find the content, insights, and tools they need to win.
You’ll work at the intersection of machine learning (both predictive and generative), information retrieval, and large-scale systems—helping elevate our AI capabilities while mentoring and guiding engineers across the team.\n

What You'll Do

Lead the end-to-end development of modern search and recommendation systems, from architecture to production deployment.
Drive technical strategy and innovation in search relevance, personalized ranking, semantic search, and ML-powered retrieval/grounding.
Collaborate with product, design, and data teams to define and deliver intelligent user experiences.
Influence platform-level decisions on data pipelines, experimentation frameworks, and performance optimization.
Mentor engineers, foster technical excellence, and promote a culture of learning and innovation.

Your Background

8+ years of experience building and scaling search or recommendation systems in production environments.
Deep expertise in information retrieval, ranking algorithms, collaborative filtering, and/or neural search techniques.
Strong programming skills in Python, Java, or Scala; experience with ML and IR frameworks such as Elasticsearch, FAISS, TensorFlow, or PyTorch.
Familiarity with LLMs, embeddings, and modern vector search infrastructure.
Proven leadership in cross-functional environments with a track record of mentoring and guiding technical teams.
Strong grasp of MLOps practices and experience with cloud-native ML infrastructure (e.g., AWS, GCP).

Nice To Have

Experience with personalization, multi-objective optimization, or exploration/exploitation strategies.
Published work in top-tier IR or ML conferences, or contributions to relevant open-source projects.
Experience driving different experimentation practices for fast iterating search/recommendation quality cases.

Why You'll Love HIghspot

Competitive salary, equity, and benefits.
Flexible work environment with remote options.
Collaborative and inclusive team culture.
A chance to solve high-impact technical problems with a team that values craftsmanship, innovation, and growth.

To be included on job posting:Base salary range: $180,870 - $272,174Employees may also be eligible for bonuses, stock options, and other forms of compensation.
The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.
“Highspot also offers the following employee benefits for this position:-Comprehensive medical, dental, vision, disability, and life benefits-Health Savings Account (HSA) with employer contribution-401(k) Matching with immediate vesting on employer match-Flexible PTO-8 paid holidays and 5 paid days for Annual Holiday Week-Quarterly Recharge Fridays (paid days off for mental health recharge)-18 weeks paid parental leave-Access to Coaches and Therapists through Modern Health-2 volunteer days per year-Commuting benefits
#LI-NT1
Equal Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.
Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.","hiringOrganization":{"@type":"Organization","name":"Highspot","sameAs":"https://www.highspot.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Applied Scientist","datePosted":"2025-07-20","description":"About Us
We address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.
About YouAn ideal candidate for this Applied ML Scientist role would:
- Have at least five years of experience in machine learning, especially in product-oriented companies.- Be highly skilled in Python for machine learning and backend development within production environments.- Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies.- Exhibit humility, a collaborative attitude, and a willingness to support team goals.- Be comfortable with taking ownership and working independently within a fast-paced startup environment.
Preferred Qualifications- Experience in an early-stage startup.- Knowledge of healthcare data and electronic health records.
About the Role- As an Applied ML Scientist, you’ll work closely with the founding team to develop our core product and support team growth.
\n

- Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources.
- Fine-tuning and deploying models while balancing performance and latency.
- Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI.
- Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations.
- Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

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We address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.
About YouAn ideal candidate for this Applied ML Scientist role would:
- Have at least five years of experience in machine learning, especially in product-oriented companies.- Be highly skilled in Python for machine learning and backend development within production environments.- Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies.- Exhibit humility, a collaborative attitude, and a willingness to support team goals.- Be comfortable with taking ownership and working independently within a fast-paced startup environment.
Preferred Qualifications- Experience in an early-stage startup.- Knowledge of healthcare data and electronic health records.
About the Role- As an Applied ML Scientist, you’ll work closely with the founding team to develop our core product and support team growth.
\n

- Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources.
- Fine-tuning and deploying models while balancing performance and latency.
- Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI.
- Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations.
- Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

","hiringOrganization":{"@type":"Organization","name":"Techruiter","sameAs":"https://www.techruiter.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Applied Scientist","datePosted":"2025-08-06","description":"About Us
We address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.
About YouAn ideal candidate for this Applied ML Scientist role would:
- Have at least five years of experience in machine learning, especially in product-oriented companies.- Be highly skilled in Python for machine learning and backend development within production environments.- Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies.- Exhibit humility, a collaborative attitude, and a willingness to support team goals.- Be comfortable with taking ownership and working independently within a fast-paced startup environment.
Preferred Qualifications- Experience in an early-stage startup.- Knowledge of healthcare data and electronic health records.
About the Role- As an Applied ML Scientist, you’ll work closely with the founding team to develop our core product and support team growth.
\n

- Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources.
- Fine-tuning and deploying models while balancing performance and latency.
- Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI.
- Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations.
- Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

Our approach to working together means that ASOSers are required to be in the office at least two days per week. This enables stronger collaboration, faster decision-making, and a strong team culture, while still offering the flexibility to work remotely when appropriate.

We are seeking an Applied Scientist to join a collaborative machine learning product team focused on delivering innovative solutions that enhance the customer experience. This role offers the opportunity to work on large-scale, real-world problems and contribute to impactful projects across key business areas.

The position is part of a broader Applied Science function that designs and maintains algorithms supporting various operational and customer-facing domains. These include recommendations, search, marketing, pricing, and forecasting, with the scope continuously evolving to address new challenges. The team builds machine learning models at scale, drawing on rich data sources to drive meaningful outcomes.

Key Responsibilities

Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
Lead the implementation and scaling of algorithms with measurable business impact.
Design and conduct experiments to validate models and inform product direction.
Stay current with developments in the field through research, reading groups, and prototype testing.
Contribute to ongoing improvements in code quality, infrastructure, and feature development.
Participate in learning opportunities, knowledge-sharing sessions, and technical events.
Promote diversity, equity, and inclusion in both team culture and work practices.

Qualifications

About You

Demonstrated experience applying machine learning in production environments.
Depending on the team's focus, relevant experience could include areas such as deep learning, forecasting, optimization, recommender systems, causal inference, or Bayesian methods.
Proficiency in programming languages used in machine learning and familiarity with common frameworks.
Solid grasp of statistical methods and software development best practices.
Ability to work independently, manage timelines, and deliver prototypes or models aligned with business needs.
Strong collaboration skills and comfort working across technical and non-technical roles.
An interest in research and innovation, with any publications in reputable machine learning venues considered a plus.

Additional Information

BeneFITS’

Competitive compensation and performance-related bonuses
Professional development and career growth support
Generous paid leave, including additional personal celebration days
Flexible benefits allowance
Access to learning resources and internal knowledge-sharing events
Employee perks and wellness support options

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We address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.
About YouAn ideal candidate for this Applied ML Scientist role would:
- Have at least five years of experience in machine learning, especially in product-oriented companies.- Be highly skilled in Python for machine learning and backend development within production environments.- Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies.- Exhibit humility, a collaborative attitude, and a willingness to support team goals.- Be comfortable with taking ownership and working independently within a fast-paced startup environment.
Preferred Qualifications- Experience in an early-stage startup.- Knowledge of healthcare data and electronic health records.
About the Role- As an Applied ML Scientist, you’ll work closely with the founding team to develop our core product and support team growth.
\n

- Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources.
- Fine-tuning and deploying models while balancing performance and latency.
- Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI.
- Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations.
- Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

Responsibilities

Develop and implement new algorithms on robots.
Creatively apply state-of-the-art techniques from both in-house and laboratories around the world to solve real-world problems.
Promote quality and reliability through regular code reviews

Requirements

BS, MS and PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field
2+ years of experience designing and developing software applications using C++ or Python in production environments
Experience working with robots, machine learning, or other related applications

Bonus

Experience with planning algorithms (A*, RRT, PRM, etc)
Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc)
Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc)
Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc)
Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc)
Experience with task planning (TAMP, STRIPS, MDPs, etc)
Experience with machine learning toolkits (PyTorch, TensorFlow, Scikit-learn, etc)
Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)
Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","hiringOrganization":{"@type":"Organization","name":"Robotics and AI Institute","sameAs":"https://www.rai-inst.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Applied Scientist","datePosted":"2025-08-12","description":"

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

We are looking for an Applied Scientist to join our team! 

This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft AI ERP. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.

An ideal candidate has prior expertise in generative AI, software engineering skills, technical aptitude, communication skills and a collaborative working style. The scientist should focus on evaluation metrics to make purpose-built LLMs to infuse AI in productivity scenarios. Additionally, they should be comfortable with the end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. As part of the role, they will also work with a globally diverse team of applied scientists and engineers who are building AI platforms, models and products. They are expected to drive growth mindset and embrace the rapidly evolving innovations and breakthroughs in this field.

Responsibilities

Design, plan, and execute experiments to evaluate models, datasets, and metrics for product impact.

Define, evaluate, and assess evaluation metrics, including fairness and bias, contributing to ethical AI and privacy policies.

Document results/progress and share findings to promote innovation.

Conduct model and experimental evaluations including A/B testing, shadow testing, and other validation techniques.

Implement and fine-tune neural network architectures, including transformer-based models.

Work on frontier models to push AI innovation boundaries.

Partner with research teams to integrate cutting-edge ML technologies into products.

Collaborate with product and platform teams to design AI-powered experiences.

Build and deploy ML models, develop data pipelines, and manage training/test datasets.

Work collaboratively with cross-geo teams at flexible hours while fostering a healthy and inclusive environment.

Qualifications

Educational Background:

Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical fields (e.g., mathematics, physics, statistics, or similar).

Experience:

3+ years of experience working with machine learning libraries to solve real world data science problems

Skills:

Proficiency in Python, scripting, AI efficiency tools.

Experience in large language model architectures (e.g. Transformer, etc).

Strong foundation in classical machine learning techniques and statistics.

Prior experience in model and experimental evaluations like A/B testing, shadow testing etc.

Experience handling real-world noisy data.

Demonstratable experience with software engineering principles, parallel/distributed computing, and cloud technology platforms (e.g. Azure etc.)

Proficiency with object-oriented programming practices.

Problem-Solving:

Ability to understand complex business contexts and solve open-ended problems.

Proactive mindset focused on optimizing solutions for business impact.

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

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

Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

Key Responsibilities

Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
Lead the implementation and scaling of algorithms with measurable business impact.
Design and conduct experiments to validate models and inform product direction.
Stay current with developments in the field through research, reading groups, and prototype testing.
Contribute to ongoing improvements in code quality, infrastructure, and feature development.
Participate in learning opportunities, knowledge-sharing sessions, and technical events.
Promote diversity, equity, and inclusion in both team culture and work practices.

We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 2 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.

Qualifications

About You

Demonstrated experience applying machine learning in production environments.
Depending on the team's focus, relevant experience could include areas such as deep learning, forecasting, optimization, recommender systems, causal inference, or Bayesian methods.
Proficiency in programming languages used in machine learning and familiarity with common frameworks.
Solid grasp of statistical methods and software development best practices.
Ability to work independently, manage timelines, and deliver prototypes or models aligned with business needs.
Strong collaboration skills and comfort working across technical and non-technical roles.
An interest in research and innovation, with any publications in reputable machine learning venues considered a plus.

Additional Information

BeneFITS’

Competitive compensation and performance-related bonuses
Professional development and career growth support
Generous paid leave, including additional personal celebration days
Flexible benefits allowance
Access to learning resources and internal knowledge-sharing events
Employee perks and wellness support options

Outlook is one of the most widely used communication and productivity tools in the world, and Copilot is transforming how millions of users engage with it through the power of AI. As an Applied Scientist, you will play a critical role in advancing our Outlook's Co-pilot efforts in the areas of Large Language Model (LLM), Prompt Eng, Evaluation, Relevance and Responsible AI (RAI). This multifaceted role is responsible for developing an end-to-end infrastructure and measurement framework, fostering cross-functional collaboration, and leveraging data science and AI expertise to guide decision-making. The candidate will work with multiple large organizations and stakeholders to drive the evaluation of our LLM systems and associated components.

Responsibilities

Strategic Leadership: Develop and execute a comprehensive strategy for LLM evaluation, encompassing LLM quality, costs, model performance, model utility (user experience and prompt effectiveness), and responsible AI considerations, in alignment with company-wide efforts and informed by emerging research.

Program Management: Oversee and manage large-scale, cross-functional evaluation programs, ensuring alignment with organizational objectives and timelines. Develop and maintain a robust measurement framework to track and report on LLM performance and user impact. Drive engineering product roadmap to construct automated evaluation pipelines integrated into the product workflow.
Data Science Expertise: Utilize strong data science skills to design experimentation, analyze data, create OKRs, create measurement and metrics, and derive actionable insights to enhance LLM systems. Responsible for influencing product and user experience based on evaluation results.
Model and Prompt Evaluation: Lead efforts to assess and improve the performance and effectiveness of language models and prompts, driving iterative enhancements, including synthetic and manufactured data creation.
User Experience Enhancement: Collaborate with User Experience teams to evaluate and optimize user interactions with AI systems, enhancing user satisfaction.
Responsible AI (RAI): Implement RAI principles and guidelines in AI systems, ensuring ethical and unbiased practices in model development and deployment.
Contribute to the LLM research body: form partnerships and lead deep research initiatives in areas of LLM evaluation and user experience optimization that contribute to the scientific body and deepen the product team's understanding and expertise of user mental models of and alignment to LLM-powered experience.
Cross-Functional Collaboration: Work with engineering, research, product, and other teams to ensure seamless integration of evaluation processes into the development lifecycle.

Other

Embody our Culture and Values

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
1+ year(s) experience in data science, machine learning, experimentation, and AI, with a strong track record of delivering impactful results.
1+ year(s) experience of LLM in finetuning, evaluation techniques, implementing RAG techniques and industry best practices.

Other Requirements:

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

Preferred Qualifications:

Understanding of Responsible AI (RAI) principles.
Ability to work in a fast-paced and dynamic environment.
Aanalytical and problem-solving skills.
Competent communication and presentation abilities.

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

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

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

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

ABOUT TEAM

The Discovery team assists customers in their fashion discovery journey and helps them find what they are looking for. We are developing the next generation of our discovery systems, utilizing state-of-the-art natural language processing (NLP) and/or information retrieval (IR) methods, particularly transformer-based deep neural networks and large language models (LLMs).

As a Senior Principal Applied Scientist, you will address challenging fashion problems using cutting-edge approaches. You will contribute to drive our scientific roadmap, applying your scientific capabilities and in collaboration with a team of exceptional scientists and engineers developing models and cutting-edge machine learning products that enhance the experience of over 51 million customers.

WHERE YOUR EXPERTISE IS NEEDED

Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions in NLP and IR to enhance the inspiration journey of millions of our customers in large scale projects. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles.
Develop long term roadmaps for research topics that span multiple product areas and address concrete business goals. As part of the leadership team, be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in people, strategic direction and make or buy decisions.
Act as a mentor and guide to senior and principal scientists, and actively share knowledge and expertise within Zalando’s science community.
Forge close partnerships with applied science leaders and product managers, to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.

WHAT WE ARE LOOKING FOR

PhD in NLP, IR, machine learning, or related fields (or equivalent experience), accompanied by 8+ years of industry experience, especially deep learning based NLP and/or IR methods.
Experience leading and shaping the scientific roadmap of the teams in products that span across multiple areas and working with senior AS leaders. Ability to discover new business opportunities collaborating with product, science, and engineering managers and solve business problems through scientific solutions.
Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle, and raises departments and Zalando’s best practice in methods, algorithms and technology, including architecture, design patterns, and research roadmaps.
Authority on deep learning and extensive track record to leveraging research to advance the state of the art, including strong publication records at top-tier venues such as ACL, NAACL, EMNLP, SIGIR, KDD, WWW, ICLR, NeurIPS, ICML, JMLR, etc.
Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Expertise with LLMs and their applications in IR. Proficiency in cloud computing platforms such as AWS is also required.

PERKS AT WORK

Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events.
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings.
Extensive onboarding, mentoring and personal development opportunities and an international team of experts.
Relocation assistance for internationals, PME family service and parent & child rooms* (*available in selected locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

ABOUT ZALANDO

Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

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Job Description:

Rakuten Group

Rakuten, founded in 1997, is a Global Innovation Company based in Japan. With over 70 diverse businesses spanning e-commerce, digital content, fintech, and communications, and 32,000 employees, we serve 1.6 billion members worldwide. Our mission is to empower people and society through innovation and entrepreneurship. 

Rakuten Tech in Europe  

Rakuten Tech in Europe, a part of the Rakuten Group's Global Innovation Hub, serves as the regional hub for the European-based members of the Technology Division. We provide and optimize global platforms to support businesses within the Rakuten Ecosystem, tailoring them to specific use cases in Europe and beyond.

With over 130 members across 7 countries and 12 offices, our presence spans France (Paris), Spain (Barcelona), UK (Belfast and London), Estonia (Tallinn), and Germany (Berlin). Our diverse team is formed of more than 20 nationalities and collaborates with all members of the Technology Divisions on a regular basis.

Team’s presentation

Rakuten Institute of Technology: The incubation center of AI research and technologies that fuel Rakuten’s innovation.   

Rakuten Institute of Technology (RIT), the core AI research wing of Rakuten, is spread across six geographical locations including Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. This division consists of AI research scientists with specialization in machine learning, deep learning, natural language processing, computer vision, knowledge discovery and data mining.

Position’s description

As an intern, you will play a key role in exploring the potential of LLMs in the context of item recommendation. Your responsibilities will include data gathering and preparation, evaluating the recommendation capabilities of LLMs under zero-shot settings, as well as finetuning and pretraining LLMs for various recommendation tasks.

In more details, you are expected to :

Perform comprehensive literature review on LLMs and their applications in recommendation systems.

Gather and preprocess data from various sources, ensuring its adequacy for recommendation tasks.

Investigate the effectiveness of LLMs in recommendation scenarios where no direct training data is available.

Implement evaluation pipelines and conduct thorough experiments to assess the recommendation capabilities of LLMs.

Implement/refine finetuning and pretraining techniques for LLMs, specifically focusing on recommendation tasks.

Collaborate closely with the team to analyze and interpret experimental results.

Document your findings and contribute to prototyping LLMs-based recommendation solutions.

Profile

Currently enrolled in a computer science Master 2 program (or equivalent) specialized in machine learning.

Strong programming skills, preferably in Python, and experience with deep learning frameworks such as PyTorch.

Strong machine learning background and familiarity with recommendation systems, natural language processing (NLP).

Solid understanding of transformer architectures, especially in the context of LLMs.

Proficiency in leveraging existing datasets and data preprocessing techniques for machine learning tasks.

Excellent analytical and problem-solving skills, as well as attention to detail.

Full proficiency in English and the ability to work independently and collaboratively as part of a team.

Benefits

Compensation ranges : 1 100 to 1 320 €

Lunch vouchers

Office in Sentier neighbourhood

Being part of multicultural teams with more than 20 nationalities

Gain practical experience in cutting-edge research and technologies.

Work in a collaborative and supportive environment with experienced scientists and engineers.

Access to relevant resources, datasets, and computational resources.

Potential authorship on research publications and technical reports.

As an employer, Rakuten Tech in Europe is committed to developing an inclusive working environment. Access to employment is open to all, regardless of gender, age, disability, ethnicity, religion, sexual orientation, or social status.  

Find us on…

Welcome  to the Jungle

This is Rakuten tech

Languages:

English (Overall - 3 - Advanced)","hiringOrganization":{"@type":"Organization","name":"Rakuten Group","sameAs":"https://global.rakuten.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris 92 rue Reaumur (35h), France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Applied Scientist 2","datePosted":"2025-07-21","description":"

How would you like to directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you.

Who we are 

Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365.  The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. 

Our team of Applied Scientists 2 is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models.  The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field.  

Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 

About the Org:

The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system.

Responsibilities

You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
2+ years of working in an AI research facility or working with software services / experiences infused with AI. 
Solid customer focus and passion for doing the right thing for the customer.
Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.
Excellent communication skills and cross group collaboration.
Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques.
Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus.

Preferred Qualifications:

Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR equivalent experience.

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

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

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The Microsoft Security AI Research team develops advanced AI-driven security solutions to protect Microsoft and its customers. Our team combines expertise in large-scale AI, knowledge graphs, and generative models to address evolving security challenges across Microsoft’s complex digital environment. Defending Microsoft’s complex environment provides a unique opportunity to build and evaluate autonomous defense and offense through emerging generative AI capabilities. By leveraging rich security telemetry and operational insights from Microsoft’s Threat Intelligence Center and Red Team, you will have access to a one-of-a-kind environment for innovation at scale. As a Senior Applied Scientist, you will focus on applying advanced graph algorithms and large language models (LLMs) to automate and enhance red-teaming operations. Deep expertise in both graph theory/graph machine learning and large language models is essential for this role. You will be responsible for designing and building AI systems that combine knowledge graphs and LLMs for adversarial simulation, attack path discovery, and threat modeling in a production environment. While cybersecurity experience is preferred, it is not required.

Responsibilities

Research, design, and develop advanced graph-based and LLM-powered AI systems to automate red-teaming and adversarial simulation.
Build and maintain large-scale knowledge graphs and leverage LLMs for representing, reasoning about, and simulating attack paths, threat relationships, and mitigation strategies within Microsoft’s cloud and enterprise environments.
Apply state-of-the-art graph algorithms, graph neural networks, and LLM techniques to real-world security data.
Collaborate with security researchers, applied scientists, and engineers to design autonomous agents and multi-agent frameworks for security testing and incident response.
Integrate data and insights from Microsoft’s Threat Intelligence Center, Red Team, and security telemetry to inform graph and LLM modeling and simulation.
Contribute to research prototypes and their operationalization in production systems, with a focus on scalability and robustness.
Although this is an individual contributor (IC) role, the Principal Applied Scientist is expected to provide technical leadership, mentor and support staff on technical aspects, and foster a collaborative, team-oriented environment.
Develop and deploy state-of-the-art graph AI models to enhance red teaming automation.
Embody our culture and values

Qualifications

Required/Minimum Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years of professional experience in software development and applied machine learning, including building and deploying production-quality systems.
2+ years of hands-on experience with large language models (LLMs), such as prompt engineering, fine-tuning, or developing and deploying LLM-based applications in production
2+ years of hands-on experience with graph theory, graph algorithms, and graph machine learning, including practical work with large-scale graph data in real-world environments
Experience with building, scaling, and deploying graph-based solutions and/or multi-agent frameworks (e.g., AutoGen, LangGraph, crewAI) in cloud environments.
Ability to translate advanced graph and LLM research into production-grade software that delivers measurable business or security impact at scale.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

Proficiency in Python is required, with significant experience developing robust, production-grade AI/ML systems using object-oriented programming.
Ph.D. in Computer Science, Machine Learning, Mathematics, or a related field.
Experience in cybersecurity domains such as red teaming, adversary emulation, or threat intelligence.
Experience combining LLMs with knowledge graphs or graph-based data.
Experience with transformer-based models and their application to graph or security data.
Familiarity with MLOps, scalable data pipelines, and deploying research in production environments.
Experience working with large-scale, heterogeneous datasets and graph-based security telemetry.
Strong written and verbal communication skills; ability to present complex technical concepts clearly.
Contributions to open-source projects or publications related to graph learning, LLMs, or security.
Experience integrating LLMs with knowledge graphs to build high-fidelity adversarial models, enabling more advanced attack simulation and security automation.

Research Sciences 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 August 6th, 2025.

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

#MSFTSecurity #MSECAI #GraphAI #LLMs #GenerativeAI #SecurityAI #KnowledgeGraphs #RedTeam

As part of the M365 Copilot team, we are building enterprise-grade agentic web infrastructure, enabling advanced browser and search tools for both public and private web ecosystems. As the web remains the largest and most dynamic data source for AI, M365 Copilot requires solid infrastructure with the ability to retrieve, process, and ground information from the web with unprecedented accuracy, security, and compliance. The team's mission is to build this critical infrastructure to enable M365 Copilot to stay ahead of the competition. By leveraging Microsoft's infrastructure like Bing, open-source technologies, and learnings from industry leaders, we will build scalable, extensible, intelligent and high-quality services, all while adhering to enterprise security and compliance standards. This is a unique opportunity to shape the future of AI-powered web interaction and information retrieval at scale.

Responsibilities

Develop and optimize AI models for web search and browsing, contribute to system design, and collaborate with engineers and scientists to deliver high-quality solutions.

Qualifications

MS or BS in Computer Science, Data Science, or related field

2+ years of experience in applied science or machine learning

Proficiency in Python, C++, or similar languages

Experience with AI/ML model development and deployment

Background in information retrieval or NLP preferred

Experience with AI applications is a big plus

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

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

About Delphina

Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work – e.g. Jupyter notebooks and Pandas – are over a decade old.
We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina is an AI Agent for Data Science: leveraging a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines.
Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML.
We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.
This role is based in San Mateo, CA. We are in person 2-3 days per week and offer relocation assistance to new employees. In select cases we offer remote options.

What you’ll do

We're looking for an Applied Scientist to join as a Member of our Technical Staff at Delphina
As one of our key hires, you will partner closely with our team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture.
As an Applied Scientist at Delphina, you will conduct research investigating how ML workflows can be automated. You will be responsible for:
- Making sense of existing research and transforming the latest academic research and best practices into production-ready solutions. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from both the research literature and of your own creation.
- Partnering closely with customers. It's both critical that our early customers are successful in using the Delphina product, and also that you are an expert in what customers really need.
- Turning science and customer needs into product. We expect our Applied Scientists to collaborate closely with the rest of our cross functional team to shape our direction and drive outcomes.
- Working independently. We believe that scientists benefit from high levels of autonomy and we are indexed on giving you the space you need to succeed.

What we’re looking for

We are looking for practical experience in the following areas:
- Feature engineering and feature search
- Tree-based models and deep learning
- Timeseries modeling
- Production ML uses-cases in areas including fintech and manufacturing
- LLM Agents
- AutoML
Sufficient software engineering skills to conduct large-scale research experiments and build production prototypes
Demonstrated track record of success
Energy and ambition to build a product that is surprisingly good in surprising ways.
Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done.

Nice to haves

Experience building + shipping ML production systems
Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)

Benefits

Equity in the company
Medical, dental, and vision insurance
401k
Unlimited PTO
Top of the line Apple equipment
Free lunch in the office

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At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications—we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.

As our Senior Applied Scientist, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.

Responsibilities:

Architectural design of AI solutions, ensuring scalability, reliability, and performance across complex projects.
Oversee and guide projects from inception to delivery, managing all aspects of the project lifecycle to ensure successful outcomes.
Make strategic decisions that shape the direction of AI projects, contributing to key decisions that are visible to and impact executives.
Work alongside fellow technical leaders to ensure the seamless and timely delivery of sophisticated models, while ensuring their successful integration into our cutting-edge services.
Coordinate with diverse, multinational teams to drive the projects from initial research and proof of concept to full-scale production, ensuring global impact.
Leverage the latest breakthroughs in generative AI, machine learning, and deep learning to create innovative healthcare services and applications that set new industry standards.
Design and review AI solutions with a focus on excellence, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes.
Lead and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.
Develop production-level code while advocating for the best coding and engineering practices, ensuring robust and scalable AI solutions.
Actively participate in project planning, review, and retrospective sessions, driving continuous improvement and strategic alignment.
Identify potential risks at the critical intersection of business and engineering, and take proactive measures to ensure our plans and executions stay on track.

Qualifications and Experience:

Demonstrated experience in designing and deploying scalable AI models for production, with a track record of success in real-world applications.
Proven experience in leading AI projects from conception to deployment, with a strong track record of delivering innovative solutions that meet business objectives.
Demonstrated ability to manage cross-functional teams, including data scientists, engineers, and stakeholders, to ensure the successful execution of AI initiatives.
Expertise in translating complex technical concepts into actionable strategies, ensuring alignment with organizational goals and timelines.
Exceptional problem-solving skills with the ability to navigate challenges and adapt strategies in fast-paced, evolving environments.
Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.
Hands-on experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.
Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
A strong commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production.
A robust publication record, including lead authorship in top-tier journals or conferences, demonstrating thought leadership and a deep understanding of AI research.
Proven experience in leading and mentoring both senior scientists and early-career researchers, fostering a collaborative and innovative team environment.

Preferred Qualifications:

Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications is highly desirable.
Familiarity with the latest advancements in computer vision and multimodal modelling is a valuable plus.

Education:

A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or final project focused on Machine Learning and Deep Learning, and 3+ years of relevant experience is preferred but not mandatory; OR
A Master’s or Bachelor's degree in a related field with 5+ years of relevant experience is also considered.

#LI-DNI

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Job Type:

Regular

Invest in you, Join Agropur. We dairy you!

How Agropur invests in YOU :

Medical, Dental, Vision, Life, Short and Long-term Disability Insurance;
401(k) with 7% company contributions;
3 weeks Paid Time Off;
Paid holidays and 2 floating holidays;
Paid parental leave;
Advancement Opportunities.
Salary range 005: $81,400 - $101,800 (Salary will be determined based on skills, education, training & experience related to the position).

What’s involved in this role :

We are looking for a Senior Applied Scientist in Le Sueur, MN.

The Senior Applied Scientist formulates and leads the planning and execution of experiments, projects, and production trials in laboratory, pilot plant and commercial settings; conducting subsequent data analysis and preparing project reports to develop new products/processes or to modify existing products/processes. This position will also manage the required processes to bring new processes and/or products from research to full commercialization.

Project manager of research and development projects for ingredient development and process optimization.
Collaborate with Quality Assurance, Operations, Technical Services, Engineering, etc., to ensure success of new commercial processes and optimization of current processes.
Independently responsible for designing and executing a series of experiments to test hypotheses related to project outcomes.
Leverage scientific knowledge and problem-solving abilities to support research and commercial efforts.
Collaborate with other technical teams to test products during the commercialization process.
Write project charters, experimental designs, complete data analysis and write final project reports to facilitate excellence in communication.
Record, collate, evaluate, and interpret experimental data to make appropriate recommendations and documentation.
Mentor others in design of experiments, process troubleshooting and communication to operations.
Identify technical alternatives from literature review.
Prepare presentations and training tools for management and company communication.
Provide key documentation and overall technical expertise to support the transition of new products to full commercial scale.

What you need to join our team: 

Bachelor's or Master’s Degree in Food Science, Dairy Science, Chemistry or Engineering or related field required.
Equivalent combination of education and/or experience may be considered.
Minimum four (4) years of experience in a laboratory or dairy plant environment required.

We dairy you! JOIN AGROPUR.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Agropur welcomes people from all backgrounds and origins. We are proud to be an employer with a diverse community and are committed to providing a respectful and inclusive experience for all employees and applicants. We will work with candidates who request accommodation. Please note that an adequate knowledge of French is required for positions in Quebec.

In this text, the use of the masculine gender to designate persons is intended only to lighten the text.

","hiringOrganization":{"@type":"Organization","name":"Agropur","sameAs":"https://www.agropur.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Le Sueur Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Applied Scientist","datePosted":"2025-08-05","description":"As Microsoft continues to push the boundaries of artificial intelligence (AI), we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

The SharePoint AI team is seeking an experienced Senior Applied Scientist to drive the next wave of advancements in SharePoint Agent AI capabilities. We’re looking for someone with expertise in data engineering, data science, and model training — someone who thrives at the intersection of research and product development. The right candidate enjoys tackling complex technical challenges, optimizing large-scale data pipelines, and collaborating with research teams to push the boundaries of generative AI.

The SharePoint AI team is responsible for creating intelligent, context-aware experiences that transform how users interact with content, knowledge, and collaboration tools across Microsoft 365. In this role, you will play a critical part in designing, developing, and implementing cutting-edge AI solutions that enhance productivity and knowledge discovery within SharePoint and OneDrive. You’ll collaborate closely with Platform, Product Management, Design, and Research teams to bring these experiences to life.

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

Responsibilities

Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
Conduct rigorous data analysis and experimentation, leveraging insights to improve SharePoint agent's intelligence.
Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
Mentor, coach people on the team.
Embody our culture and values

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
1 year of experience and a proven track record of deploying machine learning models in large-scale production environments.
2 years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

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

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

Preferred Qualifications:

Experience with AI model training, fine-tuning, and evaluation methodologies.
Ability to analyze large datasets, extract insights, and apply them to model improvements.
Familiarity with research-oriented AI development, collaborating with teams to bridge theory and application.
Experience optimizing AI models for performance, efficiency, and interpretability.
Ability to work in a fast-paced, research-driven environment, balancing multiple priorities while fostering collaboration.
Dedication to writing clean, maintainable, and well-documented code.

Applied Sciences 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 August 12, 2025.

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

#AI #SPAI

Signals Modeling team:

(This role is available in Mountain View, CA, Redmond, WA or New York, NY.)

The team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction.

The role for this team is focused on building machine learned models for predicting such events. The team looks at all aspects of modeling including training data, features, the actual model (neural nets, linear models, decision trees etc.) and offline and online evaluation of those models.

Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows. At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price.

Demand Intelligence Team:

(This role is available in Redmond, WA.)

This team works on the demand optimization initiatives working on various problems including recommendation algorithms and platform components, agentic workflows for advertisers, forecasting solutions for insights and various other initiatives.

You will play a key role in driving algorithmic improvements to online and offline systems, developing, and delivering robust and scalable solutions, making direct impacts on both users and advertisers experience, and continually increasing the revenue for Microsoft Ads.

Responsibilities

As a Senior Applied Scientist on Signals Modeling Team you will be responsible to:

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

As a Senior Applied Scientist on Demand Intelligence team you will be responsible for:

Developing Recommendation algorithms in Bid/Budgets/Keywords etc.
Selection and Ranking components for Campaign recommendation platform.
Agentic workflows for campaign optimization.
Forecasting solutions
Demand analytical tools
Experimentation infrastructure, dashboard, live marketplace monitoring, and diagnosis

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
2+ years of experience in developing and deploying large-scale machine learning models.

Preferred Qualifications:

Proven experience in programming and data analysis skills.
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, or transformers.

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

#MicrosoftAI #MAI, #MSAN, #Copilot #GTA

As a Senior Applied Scientist, you will play a critical role in advancing Outlook's Co-pilot efforts in the areas of Large Language Model (LLM), Prompt Engineering, Finetuning, Evaluation, Relevance and Responsible AI (RAI). This multifaceted role is responsible for developing an end-to-end infrastructure and measurement framework, fostering cross-functional collaboration, and leveraging data science and AI expertise to guide decision-making. The successful candidate will work with multiple large organizations and stakeholders to drive the evaluation of our LLM systems and associated components.

Responsibilities

Strategic Leadership: Develop and execute a comprehensive strategy for LLM evaluation, encompassing LLM quality, costs, model performance, model utility (user experience and prompt effectiveness), and responsible AI considerations, in alignment with company-wide efforts and informed by emerging research. Drive cost effective solutions such as SLMs, or finetuned models.
Data Science Expertise: Utilize strong data science skills to design experimentation, analyze data, create OKRs, create measurement and metrics, and derive actionable insights to enhance LLM systems. Responsible for influencing product and user experience based on evaluation results.
Model and Prompt Evaluation: Lead efforts to assess and improve the performance and effectiveness of language models and prompts, driving iterative enhancements, including synthetic and manufactured data creation.
Program Management: Oversee and manage large-scale, cross-functional evaluation programs, ensuring alignment with organizational objectives and timelines. Develop and maintain a robust measurement framework to track and report on LLM performance and user impact. Drive engineering product roadmap to construct automated evaluation pipelines integrated into the product workflow.
User Experience Enhancement: Collaborate with User Experience teams to evaluate and optimize user interactions with AI systems, enhancing user satisfaction.
Responsible AI (RAI): Implement RAI and DSB principles and guidelines in AI systems, ensuring ethical and unbiased practices in model development and deployment.
Contribute to the LLM research body: form partnerships and lead deep research initiatives in areas of LLM evaluation and user experience optimization that contribute to the scientific body and deepen the product team's understanding and expertise of user mental models of and alignment to LLM-powered experience.
Cross-Functional Collaboration: Work with engineering, research, product, and other teams to ensure seamless integration of evaluation processes into the development lifecycle.
Stakeholder Engagement: Communicate findings and recommendations to executive leadership, fostering a data-driven culture within the organization.

Qualifications

Required Qualifications:

Ph.D. or Master’s in a relevant field (e.g., Data Science, Computer Science, Social science, HCI, etc.).
Extensive experience in data science, machine learning, experimentation, and AI, with a strong track record of delivering impactful results.
Expertise of LLM in finetuning, reinforcement learning, evaluation techniques, implementing RAG techniques, agentic workflows and industry best practices.
Proven expertise in program management and leading cross-functional teams.
Solid development experience in Python.
Excellent analytical and problem-solving skills.
Exceptional communication and presentation abilities.
Solid understanding of responsible AI principles.
Ability to work in a fast-paced and dynamic environment.

Other Requirements:

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

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

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

The Healthcare AI Frontiers group is dedicated to accelerating the discovery and delivery of new and better treatments. Our mission is to bridge the gap between groundbreaking AI research and everyday clinical practice, ultimately improving health outcomes for patients worldwide.

This group closely collaborates with Microsoft Research to develop novel machine learning methods and systems to solve real-world healthcare challenges. We nurture opportunities and technologies that will shape and define our industry over the next several years.

We are looking to have a Senior Applied Scientist join our team. We work closely with product groups across the company, including Azure, Foundry, Dragon, M365 and Copilot to bring new research into products and platforms for pharmaceutical, biotech, medical device, payor, and healthcare providers. We are the team behind Healthcare AI models and agents from Microsoft and its ecosystem of partners. We excitedly welcome individuals interested in applying advanced AI to solve hard yet meaningful healthcare challenges in a startup-like environment.

Responsibilities

As a key member of our multi-disciplinary team, you will:

Build 0-1 products from the ground up as a hybrid PM, engineer and researcher working across cross-functional teams
Rapidly prototype with AI and execute with teammates with velocity
Drive Healthcare AI agent and model vision, requirements, and guide the team to deliver and drive customer adoption
Collaborate closely with software developers, designers, product managers, ML/NLP research communities, and healthcare organizations
Communicate and articulate complex issues & technologies
Bring your curiosity, entrepreneurial spirit, and passion to deliver on the promise of technology in a difficult, competitive, and exciting vertical
Embody our culture and values.

Qualifications

Minimum Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
3+ years of experience with Natural Language Processing, Computer Vision, and/or Machine Learning.
Track record of moving fast with open minded curiosity, bias to build, learn and iterate.

Other Requirements:

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

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

Preferred Qualifications:

Bachelors, Masters or PhD in Computer Science, Math, Statistics, or related quantitative fields
- OR equivalent experience.
3+ years of experience building AI powered products as a full stack PM, engineer or researcher
Proficient collaboration and communication skills
Coding skills in one or more of: Python, C/C++, C#, Java, Scala
Experience with deep learning in PyTorch or Tensorflow/Keras
Experience with recent CV, NLP & deep learning advancements, e.g.,transformers, attention, LSTMs, sequence to sequence, etc.
Experience creating representative evaluations and benchmarks, including data acquisition, curation, labeling
Experience with supervised and reinforcement fine-tuning
Experience with production ML/NLP pipelines and products, quantifiable product impact
Publications in ML/AI conferences (e.g., CVPR, NeurIPS, ICML) is a plus
Experience with Clinical or Biomedical AIand applications is a plus
Experience/interest in Healthcare and/or Health technology

Applied Sciences 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: US corporate pay information | Microsoft Careers

Microsoft will accept applications for the role until August 13th, 2025.

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

#hlsaifrontiers #healthcare #healthai #microsoft #ai #research

About Us

InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere.

InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com.

Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com.

Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com.

Overview of the role:

We are looking for an Applied Scientist III to join our algorithmic and research science team. You’ll work on mathematically rigorous, research-driven problems at production scale. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions.

As the heart of the InMobi Exchange, our team optimizes the company’s core business functions and creates the strategic moat that sets us apart in the market. You will not just “use models”—you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality.

If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference.

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The impact you'll make:

In this role, you’ll operate at the intersection of cutting-edge research and massive-scale production, shaping algorithms that power a global advertising marketplace, making tens of trillions of real-time decisions every day. You’ll work in an environment where models are continuously tested, evaluated, and refined — with rapid learning loops measured in hours, not weeks. Collaborating with a team that values algorithmic depth and scientific rigor, you’ll have the opportunity to prototype, publish, and deploy work that drives measurable business impact.

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Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.
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Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling—in non-stationary, adversarial environments.
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Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks).
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Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics.
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Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems.
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Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies.
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Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.
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Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.
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The experience we need:

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Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.
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5.5–7 years of experience working on algorithmic or applied research problems, ideally with some production deployment experience.
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Deep grounding in one or more of:
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  Statistical learning theory, optimization, probability theory, and information theory
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  Causal inference, decision theory, game theory
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  Online learning, bandits, RL, Bayesian methods
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Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus—even if not recent.
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Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.
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Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.
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A researcher’s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation.
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End-to-end ownership: you can go from idea to production and thrive in applied settings.
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Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.
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What we build…

At InMobi, we’re building products that are redefining industries. Our ecosystem spans:

InMobi Advertising – Powering data-driven mobile marketing for the world’s leading brands
Glance – A revolutionary Gen AI-powered lockscreen & TV content platform transforming how millions discover and engage with content.
1Weather – One of the world’s leading weather platforms, delivering precise, reliable, and real-time weather forecasts

With deep expertise in AI, mobile, consumer technology, and digital innovation, we are home to some of the brightest minds in the industry.

What sets us apart?

Not just what we build. How we build it. At InMobi, we balance our hunger for cutting-edge tech with a deep focus on our people - their growth, well-being, and potential.

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At InMobi, you’ll be surrounded by people who…

Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems
Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential
Own their outcomes: We take responsibility, make bold decisions, and execute with confidence
Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility
Believe in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks

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Award-winning culture, best-in-class benefits

Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location.

The base salary (fixed) pay range for this role would range from $148,200 USD to $216,600 USD (min to max of base salary pay range). This salary range is applicable for our offices located in California and New York*.

*Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country.

In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution.

A quick snapshot of our U.S. benefits:

Competitive salary and RSU grant (where applicable)
High-quality medical, dental, and vision insurance (including company-matched HSA)
401(k) company match
Generous combination of vacation time, sick days, special occasion time, and company-wide holidays
Substantial maternity and paternity leave benefits and compassionate work environment
Flexible working hours to suit everyone
Wellness stipend for a healthier you!
Free lunch is provided in our offices daily
Pet-friendly work environment and robust pet insurance policy - because we love our animals!
LinkedIn Learning on demand for personal and professional development
Employee Assistance Program (EAP)

If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it!

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InMobi is an equal opportunity employer

InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work.

InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

","hiringOrganization":{"@type":"Organization","name":"InMobi","sameAs":"https://www.inmobi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Applied Scientist","datePosted":"2025-08-12","description":"Copilot Tuning is a new AI product that adapts based on tenant data, enabling customer-specific agents and solutions. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM (large language model) experience in the enterprise.

We are seeking a Senior Applied Scientist with stellar research and system building skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, reinforcement learning, and supervised fine-tuning.

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

Responsibilities

Train and deploy Language Models adapted to specific industry needs.
Create and adapt novel training and fine-tuning algorithms for tasks such as reasoning and search.
Identifies, researches, and implements machine learning solutions given product requirements.
Brings a research project to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.
Document and share best practices across the organization.
Supports mentorship by assisting with onboarding of research interns or other early in career team members.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
2+ years of experience training/fine tuning AI/ML models, preferably LLMs.
2+ years of experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).
2+ years of experience with Python and/or PyTorch.

Other Requirements:

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

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
Deep knowledge of transformer models and architectures.
Experience with reinforcement learning algorithms and applications.
Experience working with customers deploying AI solutions.

Applied Sciences 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 August 26, 2025.

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

#M365 #Copilot

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Teams and other Microsoft services). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Senior Applied Scientist who is passionate about machine learning and driven to make an impact.

Responsibilities

Apply machine learning to improve existing and develop new algorithms to improve Teams real-time collaboration quality and reliability and other Microsoft services.
Understand and be able to leverage core concepts of video and/or audio processing.
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Drive independent investigations resulting in shipping product code, patents, and publications.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Experience in machine learning using tools like Pytorch.
System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.
Software development experience using Python.

Preferred Qualifications:

MSc or Ph.D. in Computer Science, Statistics, Mathematics, Physics or related field OR equivalent experience.
Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Software Development experience using C++.

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

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

Signals Modeling team:

(This role is available in Mountain View, CA, Redmond, WA or New York, NY.)

Demand Intelligence Team:

(This role is available in Redmond, WA.)

Responsibilities

As a Senior Applied Scientist on Signals Modeling Team you will be responsible to:

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

As a Senior Applied Scientist on Demand Intelligence team you will be responsible for:

Developing Recommendation algorithms in Bid/Budgets/Keywords etc.
Selection and Ranking components for Campaign recommendation platform.
Agentic workflows for campaign optimization.
Forecasting solutions
Demand analytical tools
Experimentation infrastructure, dashboard, live marketplace monitoring, and diagnosis

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
2+ years of experience in developing and deploying large-scale machine learning models.

Preferred Qualifications:

Proven experience in programming and data analysis skills.
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, or transformers.

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

#MicrosoftAI #MAI, #MSAN, #Copilot #GTA

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