Research Engineer - Reinforcement Learning, Self-Driving

Applied Intuition is seeking multiple Research Engineers to join its Research Group, focusing on advancing physical AI technologies in autonomous driving and robotics. The team comprises experts recognized for their contributions to top-tier conferences and journals. Researchers have access to extensive datasets and deploy their methods across various autonomous systems, including self-driving vehicles and robotic platforms.

In this role, you will conduct research on reinforcement learning (RL) and its training infrastructure, covering areas such as large-scale self-play RL, VLA post-training, and closed-loop RL based on neural simulation for autonomous driving applications. Collaboration with Research Scientists and interns to produce high-quality publications is expected, along with working alongside engineering teams to implement and deploy algorithms into mass production vehicles and autonomy development tools.

Candidates should have hands-on experience in at least one of the following fields: self-play RL and imitation learning, VLA post-training for autonomy or robotics, large-scale closed-loop RL in driving simulation, or large-scale RL training infrastructure (preferably Ray). A strong background in Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training is essential. The ability to work both independently and collaboratively is also required.

Applied Intuition offers a competitive compensation package, including base salary, equity options, and comprehensive benefits such as health, dental, vision, life, and disability insurance. Additional perks include a 401(k) retirement plan with employer match, learning and wellness stipends, and paid time off.

The company fosters a fast-paced, customer-focused culture that emphasizes excellence and continuous improvement. Employees have the opportunity to contribute to cutting-edge technology in autonomy and robotics, with immediate impact on customer programs and business value.