Research Engineer - Reinforcement Learning, Self-Driving
$126k - $423k • Sunnyvale • FullTime
Posted 8mo ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Applied Intuition is seeking passionate Research Engineers to join its Research Group, focused on developing cutting-edge technology for next-generation physical AI, particularly in end-to-end autonomous driving and robotic generalist applications. The group comprises leading experts and has a strong track record of academic and industry contributions. Researchers have access to extensive data and tools, enabling them to deploy their methods into various autonomous and robotic systems, including self-driving cars, mining machines, and humanoid robots. This role offers the opportunity to contribute to impactful research and learn best practices within a fast-paced, customer-focused culture, with improvements directly benefiting customers and the business.
Responsibilities
- Conduct research on reinforcement learning (RL) and its training infrastructure, including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL with neural simulation for autonomous driving.
- Collaborate with Research Scientists and interns on high-quality research publications for top-tier conferences.
- Work with engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles and neural simulation/generation for autonomy development tools.
Requirements
- Hands-on experience in self-play RL and imitation learning, behavior learning.
- Hands-on experience in VLA post-training for autonomy or robotics.
- Hands-on experience in large-scale closed-loop RL in driving simulation.
- Hands-on experience in large-scale RL training infrastructure (Ray preferred).
- Passion for next-generation, scalable autonomy and robotics for real-world systems.
- Strong engineering and research skills, with the ability to work independently and collaboratively.
- Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training.
- Master's or PhD in machine learning and computer vision with autonomy and robotics applications or a closely related field.
- 1+ year of experience in autonomy applications or a closely related field.
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off