Microsoft is pioneering the future of collaborative intelligence through AI-native agents that transform how people work together, making collaboration more intuitive, productive, and adaptive across diverse modalities and contexts.
Requirements
- 2+ years experience in developing AI models in Python and relevant ML libraries, and familiar with LLM and SLM.
- 2+ years experience with building ML infra and deploying ML models for scaled production services.
- 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
- 3+ years experience with Python and relevant ML libraries (e.g., PyTorch).
- 3+ years experience with building ML infrastructure and developing and deploying ML models.
- 3+ years experience in coding and design, specifically in the development of AI models for scaled production services.
- 3+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
Responsibilities
- build and optimize infrastructure for frontier models—including large language models (LLM), small language models (SLM), and multimodal systems—leveraging both proprietary and open-source frameworks.
- Your responsibilities will span the full engineering lifecycle: from model training and serving to monitoring and continuous deployment, with a focus on reliability, performance, and scalability in real-world environments.
- Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
- Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
- Drive the team's strategic vision and align it with the overall company objectives.
- Collaborate with stakeholders to define project goals, success criteria, and deliverables.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
- 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.
