Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

The AI Frontier Lab at Microsoft Research in Redmond, WA is looking for Research Interns to advance the state of the art in evaluating and understanding the responsible development of foundational models with a focus on real-world use of Artificial Intelligence (AI).

Our lab conducts influential research published at top-tier venues in AI and machine learning (ML) including Conference on Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), Association for the Advancement of Artificial Intelligence (AAAI), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), and ACM Conference on Fairness, Accountability, and Transparency (FAccT). The lab also works within Microsoft’s Responsible AI ecosystem to impact our AI-driven technologies such as Azure, Office, and Bing.

We seek Research Interns with demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence.

For this role you need keen interest in rigorous evaluation, understanding, and innovation on foundational models. Research areas of particular interest for this team include but are not limited to: Reliability & robustness of AI systems, rigorous evaluation and benchmarking, reasoning and planning in AI, advances in AI interpretability, bias and fairness, and safety in real-world deployments.

Our group takes a holistic approach to studying foundational models that includes a variety of data modalities (language, vision, multi-modal, and structured data) and modern model architectures.

Priority will be given to candidates with a proven publication record in top-tier conferences, who have demonstrated the ability to develop original research and perform hands-on research, and who work well in a collaborative and dynamic environment.