Research Engineer in Reinforcement Learning

Job Summary

Seeking a full-time Research Engineer in Reinforcement Learning to develop innovative environments, training pipelines, and evaluation systems remotely, advancing the capabilities of modern AI models through the translation of experimental ideas into scalable systems.

Key responsibilities

• Architect self-contained RL environments and design scalable episode pipelines for reproducible experimentation
• Build automated data generation systems and develop AI-driven evaluation and quality assurance systems
• Fine-tune and optimize open-source RL models, establishing benchmarking frameworks to measure model capability and data quality

Required qualifications

• Deep experience in Reinforcement Learning, including environment design and training dynamics
• Strong track record of building and scaling RL systems and experimentation frameworks
• Proficiency in automation and synthetic data generation pipelines
• Experience with automated evaluation systems and model validation workflows
• Clear technical writing skills and ability to operate in fast-paced, collaborative environments