Research Engineer - Reinforcement Learning, Self-Driving
Applied Intuition7 months ago
Base Salary
$126k - $423k/yr
Responsibilities
- Conduct research on reinforcement learning and its training infrastructure, including large-scale self-play RL, VLA post-training, and closed-loop RL based on neural simulation.
- Work with Research Scientists and interns on research publications for top-tier conferences.
- Collaborate with ADAS, data, and simulation engineering teams to deploy end-to-end algorithms for mass-production vehicles.
- Develop neural simulation and generation methods for tools supporting autonomy development.
Requirements
- Hands-on experience with self-play reinforcement learning, imitation learning, behavior learning, VLA post-training, large-scale closed-loop RL in driving simulation, or large-scale RL training infrastructure.
- Technical experience with Python, PyTorch, computer vision, robotics systems, and distributed machine-learning model training.
- Strong engineering and research skills with the ability to work independently and collaboratively.
- Passion for scalable autonomy and robotics systems for real-world applications.
- Industry experience in relevant topics, preferably self-driving applications, is nice to have.
- An MSc or PhD in machine learning, computer vision, autonomy, robotics, or a closely related field is nice to have.
- Experience building and shipping customer-focused software frameworks or tools is nice to have.
Benefits
- Primarily in-office work at an Applied Intuition office five days per week, with occasional remote-work flexibility.
- Equity in the form of options and/or restricted stock units.
- Comprehensive health, dental, vision, life, and disability insurance.
- 401(k) retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.
Categories
ML EngineeringRobotics
About Applied Intuition
Applied Intuition builds software tools, infrastructure, and operating systems for developing, testing, and deploying autonomous and driver-assistance systems across automotive, trucking, defense, construction, mining, and agriculture. It sells enterprise software and services including simulation, sensor data management, HD mapping, and a vehicle OS to OEMs and government customers. Founded in 2017 and headquartered in Sunnyvale, California, it counts 18 of the top 20 global automakers and the U.S. military among its users.