Applied Intuition
Research Intern - Reinforcement Learning, Self-Driving
Sunnyvale · On-site · Internship · Posted Sep 21, 2024
- Experience
- 1+ year of research experience in autonomy, self-driving, or related field.
- Education
- Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics.
About the job
Conduct reinforcement learning research for next-generation autonomy, with a focus on autonomous driving, and collaborate on research publications.
What you'll do
- Research reinforcement learning topics, including self-play, VLA post-training, and closed-loop RL for autonomous driving.
- Investigate foundational RL topics, imitation behavior learning, and reward learning.
- Work with research scientists and engineers on publications for top-tier conferences.
What they ask for
- Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics.
- At least 1 year of research experience in autonomy, self-driving, or a related field.
- Strong relevant research background and ability to work independently and collaboratively.
Nice to have
- Passion for next-generation, scalable autonomy and robotics.
Pay
$65 per hour
Tools
reinforcement learning (RL), VLA
AI focus
Research on reinforcement learning for autonomous driving, including large-scale self-play, VLA post-training, and closed-loop RL using neural simulation.
Model-written summary · the original posting is authoritative