This project focuses on creating robotic systems that can adapt and improve during deployment in dynamic, unstructured environments such as warehouses and industrial sites. It combines the reliability of classical robotics with the flexibility of learned policies, enabling robots to reason, plan, and recover from…
This project introduces a novel architecture for agentic AI systems that ensures accuracy, efficiency, and safety during reasoning. It addresses two key challenges—lack of steerability and absence of verifiable guarantees—by developing verifiers that can interject at any point in a model’s generation process. An auxiliary…
Towards The Psychological Security of Agentic AI This project addresses the critical challenge of auditing psychological safety in agentic AI systems designed to deliver evidence-based interventions for mental and cognitive well-being. While agentic AI chatbots can emulate psychotherapeutic interventions and enable personalized support, they also…
This project investigates critical safety challenges in large-scale deployments of AI agents, focusing on privacy leakage and collusion risks in multi-agent environments. As agents collaborate and negotiate across complex tasks, they may unintentionally expose sensitive information or coordinate in ways that misalign with human values.…
This project reimagines AI agents not just as autonomous problem-solvers but as effective collaborators. It introduces a theory-grounded approach to design and evaluate Large Language Model agents for human–AI teamwork. The research develops CollabBench, the first benchmark to measure collaboration readiness using metrics beyond task…
Advancing human health through machine learning research. The Health Futures UK team pursues machine learning research in service of advancing human health and our understanding of medicine. Drawing on our expertise in medical imaging and multimodal deep learning, our work spans healthcare delivery and fundamental…
We are seeking Senior Machine Learning Researcher candidates for our research in the area of People-Centric AI at Microsoft Research Cambridge (UK). The successful candidate will be responsible for pushing the state of the art in machine learning to enable human agency and skill, support…
RosettaFold3 (RF3) is a unified biomolecular modeling system that predicts 3D structures of proteins, nucleic acids, and small molecules within a single framework. Combining multimodal transformers and generative diffusion models, RF3 enables precise modeling of complex molecular assemblies such as protein–ligand, protein–DNA, and protein–RNA interactions.
We are looking for a Senior Researcher – LLM Systems to invent, analyze, and productionize the next generation of serving architectures for transformer-based models across cloud and edge. The candidate will focus on algorithmic and systems innovations, including batching, routing, scheduling, caching, deployment safety, and…
The mission of the AI Platform team is to advance the state of the art in AI and create breakthroughs that power next-generation applications. As a Research Intern, you’ll contribute to cutting-edge research in multimodal AI, focusing on the synergy between vision and language. You’ll…
Microsoft Research Health Futures conducts world-class research at the intersection of Artificial Intelligence (AI) and healthcare, drawing on deep expertise in biomedical imaging and multimodal deep learning. We are seeking Research Interns to join our vibrant team of researchers and engineers. We focus on the…
The Office of Applied Research brings together experts in Machine Learning (ML) (including reinforcement learning and synthetic data generation), Large Language Models (LLM) (development, evaluation, and fine-tuning), and Human-Centered AI (such as collaboration intelligence and team science). We work closely with research and product partners…
