Member of Technical Staff, AI Reinforcement Systems

Help build the world’s most advanced reinforcement learning systems at Microsoft AI. 

We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research. 

We are looking for distributed systems experts with a scientific mindset. The ideal candidate will be able to build complex systems from the ground up, discover and diagnose causes of suboptimal performance, and contribute to solving scientific and research challenges. Specifically, they should: 

• Excel in programming (especially parallel/concurrent), software engineering, and API design 

• Have experience in large-scale systems, preferably having built some components from scratch. 

• Thrive in a highly collaborative, fast-paced environment 

• Have a high degree of craftsmanship and pay close attention to details 

• Effectively manage multiple responsibilities and can adjust to shifting priorities 

• Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users 

A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

• Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs
• Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.
• Embody our culture of collaboration, innovation, and excellence.