Machine Learning Engineer, Reinforcement Learning

Highlights

• Build general-purpose robotic intelligence that adapts to unseen scenarios.
• Design cutting-edge RL algorithms for real-world robotic environments.
• Help robots learn and perform complex tasks autonomously.

Ideal candidate

Passionate ML engineer excited to explore uncharted waters in robotics and RL. Thrives collaborating across research and engineering to deploy adaptable, intelligent robots.

Requirements

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience
• Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.)
• Strong background in algorithms, data structures, and software engineering principles
• Experience with physics simulation engines and tools for training RL
• Deep understanding of state-of-the-art machine learning techniques and models
• Extensive industry experience with reinforcement learning and robotic systems