Research Engineer in Reinforcement Learning
virtual vocationsDenver (CO)
Research Engineer in Reinforcement Learning
Posted today
virtual vocationsDenver (CO)
Computer and Information Research ScientistsResearch and Development in the Physical, Engineering, and Life Sciences
SENIORITY
Lead
About the role
Focusing on the development of algorithms and systems for training open models with reinforcement learning, the full-time Research Engineer in Reinforcement Learning will engage in algorithm research, scaling science, and enhancing RL frameworks, with the flexibility to work remotely or in-person in San Francisco.
Key responsibilities:
Develop and test reinforcement learning methods for various tasks and investigate stability issues in asynchronous RL
Design experiments to analyze the impact of model size and training compute on RL performance and learning dynamics
Extend and improve the performance of RL frameworks while building diagnostics for unstable runs and performance regressions
Required qualifications:
Demonstrated depth in RL algorithms, empirical research on model training, or distributed ML systems through research or open-source contributions
Strong programming skills in Python and experience with PyTorch or a comparable ML framework
Ability to design controlled experiments and interpret results effectively
Experience in implementing and evaluating research ideas or systems changes with documented outcomes
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