Research Intern – AI Network Observability
As a Research Intern in the Strategic Planning and Architecture (SPARC) group, you will contribute to the research, design, and development of tools to provide insights into multi-path network transports for large-scale Artificial Intelligence (AI)…
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…
Member of Technical Staff – Post Training – MAI Superintelligence Team
This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training…
Member of Technical Staff – Pre Training – MAI Superintelligence Team
The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. We are looking for outstanding individuals excited about contributing to the next generation of systems that will…
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…