Research Engineer in Reinforcement Learning

Job Summary

Seeking a full-time Research Engineer in Reinforcement Learning to develop novel environments, training pipelines, and evaluation systems remotely, focusing on translating experimental ideas into scalable, high-performance systems.

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 and experimentation frameworks
• Proficient in automation and data generation, including synthetic data pipelines
• Experienced in fine-tuning and evaluating open-source ML models
• Clear communicator with strong technical writing skills