Research Engineer (Robot Learning)

• We are looking for multiple passionate Research Engineers to join the Research Group at Applied Intuition
• The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist
• We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA
• Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands
• In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture
• Improvements deployed to our system immediately help our customers with their programs and deliver value to our business
• 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

Preferred experience

• We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity
• Physics-aware reconstruction, deformable simulation
• 1+ year of experience in autonomy and robotics applications or closely related field
• Masters or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning
• Hands-on experience in at least one of the following fields
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• VLA post-training, reinforcement learning
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Passion for building and shipping customer-focused software frameworks or tools