Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale
Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches.
Applied Scientist II
We are looking for Applied Scientists II who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. Research areas of interest include but are certainly not limited to reinforcement…
PhD Research Sciences Intern
As an Applied Science PhD Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You’ll gain expertise in cutting-edge research…
CMD Labs – Applied Scientist
We are building the next generation of proactive agents in Microsoft Teams – and the AI that powers these. These agents can take part in meetings, work for you in the background, and communicate like…
AutoAdapt demo
Explore how AutoAdapt streamlines machine learning pipeline setup and parameter optimization in this comprehensive demo. AutoAdapt performs efficient parameter sweeps and recommends parameter-efficient fine-tuning methods like LoRa, ensuring optimal results with minimal extra time and…
Senior Researcher – Efficient AI
We are an applied research team focused on advancing efficiency across the AI stack, spanning models, ML frameworks, cloud infrastructure, and hardware. The ideal Senior Researcher candidate will work across the full stack—from large-scale serving…