Robotics Research Engineer / Scientist - Robot Learning

You will work on robot learning, policy training, and real-world deployment, exploring approaches such as imitation learning, reinforcement learning, and Vision-Language-Action (VLA) models. You will help bridge the gap between research and practical robotic capabilities by developing, training, and evaluating policies on real robotic systems., * Develop and train learning-based policies for robotic manipulation and other embodied tasks.

• Apply methods such as imitation learning, reinforcement learning, diffusion policies, and VLA models.
• Work on visuomotor policies, bimanual manipulation, dexterous manipulation, and generalization across tasks or environments.
• Design data collection and training pipelines using robot demonstrations and other relevant datasets.
• Deploy trained policies on physical robots and debug performance in real-world environments.
• Design rigorous experiments to evaluate task success, robustness, and generalization.
• Analyze failures and iterate on data, model architectures, and training strategies to improve performance.
• Collaborate with infrastructure, simulation, and data teams to accelerate robot learning research.

This role is ideal for someone with strong robotics or machine learning expertise who enjoys hands-on experimentation and pushing the capabilities of learning-based robotic systems., * A PhD in Robotics, Computer Science, Machine Learning, or a related field; alternatively, substantial hands-on experience developing learning-based robotic systems. Strong MS candidates are welcome.

• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch.
• Experience with at least one learning-based robotics approach, such as imitation learning, reinforcement learning, diffusion policies, or VLA models.
• Understanding of robotic manipulation, perception, control, or visuomotor learning.
• Experience designing and conducting experiments to evaluate learned policies.
• Strong problem-solving skills and the ability to translate research ideas into working systems., * Experience deploying learned policies on real robots.
• Experience with bimanual or dexterous manipulation.
• Experience collecting and processing robot demonstration data.
• Experience improving task success rates, robustness, or generalization through model or data improvements.
• Research publications or contributions to open-source robotics and ML projects are a plus.

Note: We prioritize candidates with hands-on experience in learning-based robotic systems. ROS integration or traditional control systems experience alone is not sufficient for this role.

• Vision care
• Dental coverage
• 401(k)
• Paid holidays
• PTO (Paid Time Off)
• Sick leave