Research Scientist - Reinforcement Learning, Robotics

Responsibilities

• Conduct research on reinforcement learning topics including large-scale closed-loop RL and VLA post-training for robotics, with emphasis on dexterous manipulation
• Explore fundamental RL topics with broader applications to autonomy and robotics
• Collaborate with other Research Scientists and interns on publications for top-tier conferences
• Partner with Research Engineers and engineering teams to test and deploy algorithms to autonomy and robotics products

Requirements

• Strong research record in RL and VLA post-training for robotics and autonomous systems
• Publications in top-tier computer vision, machine learning, and robotics conferences or journals
• MSc or PhD in machine learning, computer vision, autonomy, robotics, or closely related fields
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Ability to work both independently and collaboratively on research projects
• Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed machine learning training

Preferred Qualifications

• Hands-on experience with VLA post-training for autonomy or robotics
• Experience with large-scale closed-loop RL in robotic simulation
• Experience with large-scale RL training infrastructure

Benefits

• Competitive base salary, equity, and comprehensive benefits
• Health, dental, vision, life, and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends and paid time off

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017 and valued at $15 billion, the company creates the digital infrastructure needed to bring intelligence to every moving machine on the planet. It serves the automotive, defense, trucking, construction, mining, and agriculture industries, and is trusted by eighteen of the top 20 global automakers and the United States military.