Research Scientist

Responsibilities

• Conduct research on reinforcement learning topics including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL based on neural simulation for autonomous driving
• Explore fundamental RL topics with broader applications, including reward learning and imitative behavior learning
• Work closely with other Research Scientists and interns on publications for top-tier conferences
• Collaborate 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 autonomous systems and robotics
• Publications in top-tier conferences or journals in computer vision, machine learning, and robotics
• MSc or PhD in machine learning, computer vision, or closely related fields with autonomy and robotics applications
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong research skills and ability to work both independently and collaboratively
• Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training

Preferred Qualifications

• Hands-on experience in self-play RL, imitation learning, or behavior learning
• Experience with VLA post-training for autonomy or robotics
• Experience with large-scale closed-loop RL in driving simulation
• Experience with large-scale RL training infrastructure (Ray preferred)

About the Company

Applied Intuition is a Silicon Valley company powering the future of physical AI. Founded in 2017 and valued at $15 billion, it creates the digital infrastructure needed to bring intelligence to every moving machine on the planet. The company serves the automotive, defense, trucking, construction, mining, and agriculture industries, and is trusted by 18 of the top 20 global automakers and the United States military.