Research Engineer - Robot Learning at Applied… · Sunnyvale

Summary: Applied Intuition is powering the future of physical AI and is seeking multiple passionate Research Engineers to join their Research Group. The role involves creating cutting-edge technology for next-generation physical AI, focusing on applications like autonomous driving and robotics. 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 Required Qualifications: - Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning - Hands-on experience in at least one of the following fields: VLA post-training, reinforcement learning - Hands-on experience in at least one of the following fields: 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 Preferred Qualifications: - 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 Required Skills: Python, Pytorch, computer vision, robotics systems Important Skills: distributed machine learning, reinforcement learning Nice-to-Have Skills: engineering skills, passion for robotics, collaborative work Benefits: Equity in the form of options and/or restricted stock units, Comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, Learning and wellness stipends, Paid time off