Research Engineer - Robot Learning

Responsibilities

• Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
• Construct robotic simulation environments at scale and use it for RL training
• Process human data for robotic use cases
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Requirements

• Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, Physics-aware reconstruction, deformable simulation
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training

Nice to Have

• Industry experience on relevant topics (self-driving application preferred)
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Passion for building and shipping customer-focused software frameworks or tools

Compensation

• Base salary range: $126,000 - $423,000 USD annually
• Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off