Research Interns at Microsoft work alongside leading researchers, applied scientists, and engineers to advance the state-of-the-art in machine learning and statistics. Projects include applied and theoretical machine learning research on topics such as generative models, transfer learning, domain adaptation, optimal transport, stochastic control, meta-learning, sign language modeling, statistics, approximate inference, distribution compression, weather and climate forecasting, causal inference, causal machine learning, ML for health, adversarial ML, learning and incentives, reinforcement learning, deep learning, supervised learning, and unsupervised learning.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.