Research Intern - Reinforcement Learning, Self-Driving
Sunnyvale • Intern
Posted 2y ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
Intern
Categories
AI Research Engineer
About the job
Applied Intuition is seeking passionate Research Interns to join its Research Group, focused on developing cutting-edge technology for next-generation physical AI, particularly in autonomous driving and robotics. Researchers will leverage industry-leading tools and extensive data to deploy and refine methods in various autonomous systems, including self-driving cars, robots, and more. This role offers the opportunity to contribute to immediate system improvements that deliver value to customers and the business, while learning best practices in a fast-paced, customer-focused environment.
Responsibilities
- Conduct research on reinforcement learning (RL) topics, including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL using neural simulation for autonomous driving.
- Explore fundamental RL topics with broader applications, potential imitative behavior learning, and reward learning.
- Collaborate closely with Research Scientists and Engineers on high-quality research publications for top-tier conferences.
Requirements
- Strong research background and skills in relevant topics.
- Ability to work independently and collaboratively on projects.
- Currently pursuing a PhD or MSc in machine learning, computer vision and graphics, or robotics.
- 1+ year of research experience in autonomy, self-driving, or a related field.
- Passion for next-generation, scalable autonomy and robotics.