Robotics Research Intern - Post-Training

Job description

Job requirements

• Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
• Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area.
• Interest in open research problems involving large-scale machine learning grounded in physical systems.
• Proficiency in Python and a deep-learning framework such as PyTorch.
• Ability to collaborate effectively with researchers and engineers and communicate research findings clearly.
• Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems.
• Familiarity with offline or online reinforcement learning, DAgger, interactive learning, or human-in-the-loop methods.
• Experience with simulation, sim-to-real transfer, policy distillation, or robotic manipulation.