The Copilot Platform AML Team is driving the next generation of intelligent assistant infrastructure, powering Microsoft Copilot experiences across the enterprise. Our mission is to build foundational language models that make Copilot more helpful, responsive, and accessible to millions of users worldwide.
We are looking for Applied Scientists to pioneer innovations in scalable training and inference optimization for both Small and Large Language Models (SLMs/LLMs). In this role, you will directly shape the core platform capabilities of Copilot, influencing how organizations interact with AI-driven assistants every day.
Our work spans the entire model lifecycle—from supervised fine-tuning to advanced post-training techniques such as instruction tuning, reinforcement learning, and alignment. We also push the boundaries of model efficiency with cutting-edge compression strategies, including GPTQ, AWQ, and pruning, to deliver faster, more cost-effective inference at scale.
If you’re passionate about creating intelligent assistant systems that combine deep model expertise with world-class engineering, and want to shape the future of enterprise AI, we’d love to have you on our team.