Research Engineer - Reinforcement Learning, Self-Driving
About The Position
We are looking for multiple passionate Research Engineers to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research . Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business. We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity.
Requirements
- Hands-on experience in at least one of the following fields Self-play RL and imitation learning, behavior learning VLA post-training for autonomy or robotics Large-scale closed-loop RL in driving simulation Large-scale RL training infrastructure (Ray preferred)
- Passion for next-generation, scalable autonomy and robotics for real-world systems
- Strong engineering and research skills and the ability to work both independently and collaboratively on projects
- Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
Nice To Haves
- Industry experience on relevant topics (self-driving application preferred)
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
- Passion for building and shipping customer-focused software frameworks or tools
Responsibilities
- Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
- Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
- Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development
Benefits
- equity in the form of 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
