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Come build community, explore your passions, and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential, and excitement for the journey ahead. 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. To solidify our leadership in AI, Microsoft has launched a groundbreaking program to develop the next generation of leaders in this field. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI applied scientists, researchers, and engineers across the company. After completing the program, participants have the opportunity to join one of the sponsoring product teams and further accelerate their careers at Microsoft. MAIDAP Applied Scientists will have the opportunity to leverage or instantiate novel AI technologies into production by advancing the state-of-the-art both internally and externally to meet product needs. Acting as the bridge between research and development (R&D), they will blend techniques from both researchers and development teams. This approach drives data-driven, research-backed innovation from theory into reality, in collaboration with software engineers and product managers in MAIDAP, as well as partnering product and technology teams across Microsoft.
Job Responsibility:
Research, develop, and implement 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
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience
Candidates must be available to start full-time in July 2026
Experience in Machine Learning/statistics/LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms
Experience in Python/R/Scala or similar
Energized by creating AI solutions and the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams