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AI Research Engineer
Unknown
US
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Role Impact:
- Help develop algorithms and systems for training open models with reinforcement learning.
- Work across RL algorithms, scaling research, and training frameworks based on your strengths.
- Collaborate with data and evaluation researchers to shape model learning.
Requirements:
- Demonstrated depth in RL algorithms, empirical model training, or distributed ML systems.
- Strong Python programming and PyTorch experience.
- Ability to design controlled experiments and debug model or system behavior.
Benefits and Perks:
- Cash compensation of $150-350k plus equity incentives.
- Flexible remote or in-person work in San Francisco.
- Visa sponsorship, relocation assistance, and quarterly team off-sites.
Prime Intellect
Prime Intellect builds the open superintelligence stack, offering a platform that unifies compute, training, and deployment for frontier AI teams. With $150M in funding and a mission-driven culture, they focus on open-source AI research and real infrastructure.