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The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft’s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user’s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences are powered by machine learning – and as part of this team, you will have the unique opportunity to work on almost every aspect of a machine learning project - from ideation to shipping. You will have the opportunity to turn ideas into reality with real-world impact at Microsoft scale.

As an **Senior Applied Scientist** you will have the opportunity to design and lead the implementation of state-of-the-art language and multimodal models to transform the Windows experience. You will have the opportunity to collaborate with people at the forefront of their field from across the organization and see your ideas turn ideas into reality with real-world impact at Microsoft scale. This is a hands-on role.

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

+ Research focusing on foundation models - Designing and training language and multimodal models (and finetunes) with supervised finetuning, distillation, reinforcement learning, low-rank adaptation.

+ Research focusing on environment interaction, policy specification and verification and human intent alignment.

+ Implementation: Train, distill, and finetune language and vision models in PyTorch, DeepSpeed, AzureML stack.

+ Machine learning engineering - Build pipelines to test designs, algorithms and models.

+ Data science - Research and develop synthetic data generation strategies.

+ Proactively follow state of the art research and share latest work, write papers, attend conferences and share knowledge in the wider team.

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.

+ 3+ years experience conducting research as part of a research program in academic or industry settings.

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** :

+ 2+ years' experience training and/or finetuning large language models, model compression, distillation to small language models.

+ 3+ years' experience with Python and deep learning libraries

+ Experience in large language/multimodal model training, finetuning and distillation.

+ Demonstrated record of publications in top-tier conferences or journals (ICLR, ACL, EMLP, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.).

+ Experience in creating reusable software libraries and packages.

+ Experience using dataset curation, data generation using prompting state of art LLMs and/or model alignment.

+ Experience with reinforcement learning libraries or formal methods and verification is a plus.

+ Demonstrated ability and passion for incubating new ideas, solving problems, and building working systems.

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 October 21,2025.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .