Reinforcement Learning Robotics Intern

Apply reinforcement learning and robotics skills at Sanctuary AI while developing manipulation systems for humanoid general-purpose robots. The internship offers flexible start dates and term duration.

As a Machine Learning Research Intern reporting to the RL Lead, you will contribute to perception, planning, and motion systems. You will design algorithms, improve learning pipelines, and investigate robotic manipulation challenges. The work spans simulation platforms, machine learning systems, and physical robots.

• Design and improve reinforcement and imitation learning algorithms
• Test learning methods in real-world robotic settings
• Identify and communicate promising research directions
• Improve pipeline efficiency, speed, scalability, and resource usage
• Develop training and data-collection pipelines for robots

• Pursuing a master's or doctoral degree in a related field
• Experience implementing reinforcement and imitation learning methods
• Hands-on experience integrating models onto robotics platforms
• Python 3.6 or later development experience
• Working knowledge of PyTorch or JAX and familiarity with ROS2

Build expertise across reinforcement learning, imitation learning, Python, and robotics while advancing manipulation systems at Sanctuary AI.