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Applied Researcher in Reinforcement Learning

L5

virtual vocationsDenver, COtoday
Focusing on reinforcement learning for agents that reason over long horizons, the full-time Applied Researcher in Reinforcement Learning will develop scalable systems and methods while collaborating with application teams and open-source users, with the flexibility to work remotely or from major cities like San Francisco, London, or New York.
Key responsibilities: Develop RL and post-training methods for tool-using, multi-agent, memory-augmented, and long-horizon systems Create reusable environments, harnesses, rewards, and evaluations for reinforcement learning applications Conduct experiments connecting algorithm choices to training and inference behavior, while extending existing research initiatives
Required qualifications: Hands-on experience with RL training, scalable ML systems, and agent environments Proven ability to build and debug model-training and evaluation loops Strong experimental judgment and the capability to adapt based on evidence Proficiency in Python and experience creating artifacts for research and engineering use Comfort in managing ambiguous problems and maintaining communication with partners and teammates
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Level

SeniorL5

Location

Denver, CO

Occupation

Computer and Information Research Scientists

Industry

Custom Computer Programming Services

Posted

today

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