Microsoft Research Lab - New York City

Researchers at this lab work together with others in Microsoft Research and in academia to advance the state of the art in social science, both computational and behavioral, computational economics and prediction markets, machine learning, as well as information retrieval. Along with helping to answer big data questions, their research will help us to understand economic and political predictions for understanding online human behavior. This research along with their study of social sciences will help to inform the technology of the future.

Microsoft Research leaders and interns comment on the contributions interns make and the opportunities they have to work with some of the world's top researchers.

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still of New York City from video 'How interns at our New York Lab impact research at Microsoft' where Microsoft Research leaders and interns comment on the contributions one can make in an intern research position and the opportunities they have to work with some of the world's top economics reserchers.

Microsoft Research Lab – New York City

NeurIPS 2020: Moving toward real-world reinforcement learning via batch RL, strategic exploration, and representation learning

The human side of AI for chess

Research Collection – Reinforcement Learning at Microsoft

Available on-demand: Transparency and Intelligibility Throughout the Machine Learning Life Cycle webinar

Transforming the world through deep research

AI for Systems

Computational Social Science

Economics and Computation

FATE: Fairness, Accountability, Transparency, and Ethics in AI

Machine Learning & AI | NYC

Reinforcement Learning

How interns at our New York Lab impact research at Microsoft

Careers

Full-time researcher & Research engineer

Associate Political Economist and Social Technologist

Principal Researcher – Complementary to Reinforcement Learning

Researcher – Complementary to Reinforcement Learning

Senior ML Backend Engineer

Internship & Post-doc researcher

Research Intern – Economics and Computation

Research Intern – Computational Social Science

Research Intern – Fairness, Accountability, Transparency, and Ethics

Post Doc Researcher – Complementary to Reinforcement Learning

Meet our research community

Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy

Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

Reinforcement learning for the real world with Dr. John Langford and Rafah Hosn

Keeping an Eye on AI with Dr. Kate Crawford

Susan Dumais

Highlights