Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning Systems to help build the world’s most advanced reinforcement learning systems. We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team – from training trustworthy and capable agents and powerful reasoning models to helpful and conversational assistants.  

We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges. Specifically, they should: 

• Excel in programming (especially parallel/concurrent and distributed), software engineering, and system 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 

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 AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.  

• Benchmark GB200 and AMD MIxxx GPU clusters.  

• Gather data and insights to develop the pretraining compute roadmap.  

• Care deeply about conversational AI and its deployment.  

• Actively contribute to the development of AI models that are powering our innovative products.  

• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

• Enjoy working in a fast-paced, design-driven, product development cycle.  

• Embody our Culture and Values

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.