Help build the world’s most advanced reinforcement learning platform 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 algorithms for model alignment and develop tools to extend model capabilities to numerous product domains within Microsoft.
We are looking for candidates who are both scientists and software engineers. The ideal candidate will be able to build robust systems that help our team solve the next generation of AI problems. They would:
* Excel in coding, software engineering, and API design
* Have a background in machine learning and scientific computing
* 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.
Responsibilities
* Design and develop the core infrastructure of the RL Platform, focusing on systematizing and extending RL algorithms for LLMs to a variety of present and future environments.
* Assist in development of new algorithms and help onboard other team members to state-of-the-art techniques.
* Collaborate with cross-functional teams to ship new agentic AI product capabilities.
* Embody our culture of collaboration, innovation, and excellence.
Qualifications
Required/Minimum Qualifications
* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work
* OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
* OR equivalent experience.
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