Algorithms
Research Engineer – Generative AI – AI Frontiers
The AI Frontiers lab at Microsoft Research is charted with ambitious research goals for advancing AI capabilities in several key areas including modeling, algorithms, reasoning and agentic AI. This Research Engineer position is a unique opportunity…
Research Intern – Economics and Computation
The Economics and Computation group has multiple Research Intern positions for the summer of 2026. Research areas include market design, the economics of Artificial Intelligence (AI), economics and computation, social learning, applied microeconomics, microeconomic theory,…
Research Intern – Algorithms Group: Privacy and Synthetic Data
The Algorithms group at MSR Redmond is looking for Research Interns to advance research in differentially private synthetic data generation. Opportunities include advancing our existing work on Private Evolution (see examples below), designing innovative algorithms,…
Research Intern – Machine Learning and Optimization – Redmond
The Machine Learning and Optimization (MLO) group in MSR-Redmond performs research in the intersection of optimization, machine learning and systems. Our focus right now is in combining Large Language Model (LLM) technology with optimization for…
Research Intern – Algorithms Group: Theory
The Algorithms group at MSR Redmond is looking for doctoral students to work on theoretical computer science, in particular, algorithms for approximate nearest neighbor search, erasure coding for distributed storage, scheduling theory, algorithms for massive…
Research Intern – Training Methods for LLM Efficiency
This Research Internship will design training algorithms and apply them to improving the quality/efficiency trade-offs of large language models, with a focus on resource-constrained environments. Possible directions of investigation include: designing new algorithms for quantized…
Research Intern – Algorithms group: Generative Modeling
The Algorithms group at MSR Redmond is looking for Research Interns to advance research in generative modeling. Opportunities include fundamental algorithmic innovation to enhance the efficiency and generation quality of existing models (e.g., diffusion models,…