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 (except Nanotechnology and Biotechnology)
SENIORITY
Lead
About the role
Focusing on the development of novel environments and training pipelines, the full-time Research Engineer in Reinforcement Learning will operate remotely to advance AI capabilities through scalable, high-performance systems and automated evaluation processes.
Key responsibilities:
Architect self-contained RL environments that capture complex, real-world tasks
Design and scale episode pipelines and multi-component training processes for reproducible experimentation
Develop automated data generation systems and integrate AI-driven evaluation and quality assurance systems
Required qualifications:
Deep experience in Reinforcement Learning, including environment design and training dynamics
Strong track record of building and scaling RL systems or experimentation frameworks
Proficient in automation and synthetic data generation pipelines
Experience with automated evaluation systems and model validation workflows
Skilled in fine-tuning and evaluating open-source ML models
Before you apply
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A number in mind
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Your notice period
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