Research Engineer - Robot Learning
$126k - $423k • Sunnyvale • FullTime
Posted 1y 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 creating 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 to deploy their methods into various autonomous and robotic systems, including self-driving vehicles, construction machines, and humanoid robots. This role offers the opportunity to contribute to high-quality research publications and collaborate with engineering teams to deploy algorithms for mass production vehicles and autonomy development tools.
Responsibilities
- Support robotic and data collection hardware setup, and design mechatronic systems for customized demands.
- Construct robotic simulation environments at scale for RL training.
- Process human data for robotic use cases.
- Collaborate with Research Scientists and interns on 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.
- Contribute to neural simulation/generation for tools supporting autonomy development.
Requirements
- Hands-on experience in world-action foundation models, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
- 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 and robotics 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