RL Research Engineer for Autonomous Driving & Simulation

The Robot Age; Sunnyvale (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Applied Intuition in California is seeking a research engineer focused on reinforcement learning for self-driving systems. You will translate cutting-edge ideas into reliable code, build evaluation loops, and collaborate with researchers to push the boundaries of autonomy.

This role emphasizes infrastructure, simulation, and physical AI, with responsibilities spanning experiments, tooling, and measuring behavior quality to ensure deployable autonomy.

Qualifications

• Strong engineering background in ML, reinforcement learning, robotics, or autonomy.
• Ability to implement research methods and debug complex model behavior.
• Experience with experimentation, evaluation, and production-aware research workflows.

Responsibilities

• Implement reinforcement-learning methods for autonomous driving research.
• Build experiments and tooling that help compare behavior policies.
• Work with researchers on physical AI systems spanning simulation and real-world autonomy.
• Translate research ideas into reliable code and repeatable evaluation loops.

Skills

ML

Reinforcement Learning

Robotics

Autonomy

Job description

Applied Intuition in California is seeking a research engineer focused on reinforcement learning for self-driving systems. You will translate cutting-edge ideas into reliable code, build evaluation loops, and collaborate with researchers to push the boundaries of autonomy.

This role emphasizes infrastructure, simulation, and physical AI, with responsibilities spanning experiments, tooling, and measuring behavior quality to ensure deployable autonomy.