Research Intern – AI Frameworks (Network Systems and Tools)
Advances in Artificial Intelligence (AI) increasingly depend on breakthroughs in systems and architecture, where hardware, models, and software must be co-designed to scale efficiently. This Research Internship offers the opportunity to explore next-generation AI systems…
Research Intern – Pathfinding Engineer for Thermo-Mechanical Solutions in Future Server Platforms
This Research Internship is hosted in Thermo-Mechanical Engineering team within Strategic Planning and Architecture (SPARC), a group dedicated to architecting and planning the world’s most advanced cloud infrastructure by driving the hardware systems vision and…
Senior Machine Learning Researcher – MSR AI for Science
We seek a highly motivated ML Researchers to join our Biomolecular Emulator (BioEmu) and Small Molecules Drug Discovery project. The BioEmu project aims to model the dynamics and function of proteins — how they change…
Senior Researcher – Copilot Tuning Research
The Copilot Tuning Research team is seeking a Senior Researcher with stellar research and system building skills and the desire to pursue the cutting edge in model development that pushes technological boundaries of AI for…
Cambridge Residency Programme – Post-Doctoral Researcher in Machine Learning – People-Centric AI
We are seeking a Machine Learning Researcher candidate for our Cambridge Residency Programme in the area of People-Centric AI at Microsoft Research Cambridge (UK). People-Centric AI is a multi-disciplinary effort to develop knowledge, model capabilities, and…
RadEdit model
RadEdit is a latent diffusion model trained to generate and edit chest X-rays from medical reports. It is described in detail in RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing (F. Pérez-García, S. Bond-Taylor, et…
Advancing Reasoning Capabilities in Agentic AI Systems
This project aims to push the boundaries of agentic AI by addressing three critical challenges: long-horizon memory, safe and aligned tool usage, and adaptive reasoning. Current language models excel at text generation but lack agency—the…
Towards Autonomous and Reliable Supply Chains
This project explores how Generative AI can transform supply chain management from rule-based automation to true autonomy. Building on the MIT autonomous supply chain testbed, it integrates multiple AI agents that learn, adapt, and coordinate…
Physics-Guided Vision-Language World Models for Agentic 4D Scene Understanding
This project develops a unified framework for physically grounded world modelling that combines video-based temporal prediction with Gaussian Splatting for photorealistic 3D representation. A Physics Vision-Language Model translates natural-language instructions into transformations that respect physical…