Machine Learning Engineer

Highlights

• Build general-purpose robotic intelligence robust to unseen scenarios.
• Design cutting-edge reinforcement learning algorithms for robotic applications.
• Train RL models and test them directly in real-world robotic environments.

Ideal candidate

A passionate, curious engineer eager to explore uncharted robotics challenges and collaborate across teams to bring adaptable, autonomous robots to life.

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.