Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI. This includes large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences.
Requirements
- A publication record in any of the following or related modeling paradigms: LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning/fair and interpretable AI/optimization for machine learning.
- Experience in any of the deep learning frameworks, systems, or big-data application solutions, along with application experience in language, speech, vision, graphics, gaming, or recommendation.
- 2+ years experience and proven knowledge in Python/R/Scala or similar.
- A PhD is preferred for this role, as it reflects advanced proficiency in scientific methodology, rigorous experimental design, and a strong commitment to reproducible research practices.
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Responsibilities
- Research, develop, and lead the implementation of AI solutions in application projects for Microsoft’s products and services.
- Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.
- Stay current with the latest research and technology and communicate your knowledge throughout the organization.
- Take responsibility for preparing data for analysis, reviewing data preparation/ETL code, and providing critical feedback on issues of data integrity.
- Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
- Patent and publish relevant IP and scientific research.
Other
- Candidates must be available to start full-time in July 2026.
- A PhD is preferred for this role, as it reflects advanced proficiency in scientific methodology, rigorous experimental design, and a strong commitment to reproducible research practices.
- 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.
