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Reinforcement Learning Systems
Microsoft Corporation
Full-time
Multiple Locations, United States
other-general
Posted:
June 13, 2026
Location:
Multiple Locations, United States, United States
Job Description
**Overview**
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 challenge...
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 challenge...
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Job Type:
Full-time
Location:
Multiple Locations, United States
Posted:
June 13, 2026
Deadline:
June 18, 2026