Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI, including large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences.
Requirements
- 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)
- 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)
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
- 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
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
- 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.
- Candidates must be available to start full-time in July 2026
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Microsoft is an equal opportunity employer
