Reinforcement Learning for Frontier AI Models

The RL team at Microsoft AI is responsible for large-scale reinforcement learning and improving our pre-trained models to advance their capabilities in reasoning, instruction following, agentic coding, and agentic knowledge work.

As a Member of Technical Staff – Large Scale Reinforcement Learning, you will contribute across all stages of the RL process: driving the curation of high-quality RL environments and training data, building evaluations that measure both core model capabilities and real-world performance, and applying advanced RL techniques to develop and improve our RL recipe. We work at the bleeding edge, leveraging the most powerful pre-trained models, algorithms, and sources of feedback available to us. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating closely to build the best possible models.

We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:

• Are passionate about advancing the state of the art in reinforcement learning;
• Have experience with RL algorithms, RL environment creation, or using real-world data and feedback to improve models;
• Will thrive in a highly collaborative, fast-paced environment;
• Have a high degree of craftsmanship and pay close attention to detail, consistently striving for engineering excellence;
• Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects.