Senior Reinforcement Learning Engineer

📋 Description

• Implement and deploy state-of-the-art RL algorithms to achieve world-class performance on dynamic
• Drive the development cycle from prototyping in simulation to transferring and fine-tuning policies
• Optimize and scale the RL training pipeline for faster iteration, contributing to core
• Mentor junior engineers with technical guidance, code reviews, and best practices in reinforcement
• Collaborate with robotics and hardware teams to diagnose system-level issues and co-develop
• Analyze and present hardware results to guide future technical directions and demonstrate progress

🎯 Requirements

• Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and
• Mastery of Python for rapid prototyping and training, plus strong proficiency in C++ for
• Experience building or utilizing large-scale, distributed training pipelines
• Strong theoretical understanding of modern RL, including imitation learning, model-based RL, and
• Strong intuition for robot dynamics and controls theory to guide learning-based approaches
• Results-oriented mindset with passion for real-world hardware deployment

🎁 Benefits

• *This is a direct hire.*
• Please, no outside Agency solicitations.