Research Scientist (Research)
$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 Scientists 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. Researchers will leverage industry-leading tools and extensive data to develop and deploy advanced algorithms into various autonomous and robotic systems, including self-driving vehicles, construction machines, and humanoid robots. The role offers an opportunity to contribute to impactful research, collaborate with experts, and learn best practices within a fast-paced, customer-focused culture. The company is open to candidates with all years of experience who meet the necessary requirements, including those with potential Tech Lead and Manager capacity.
Responsibilities
- Conduct research on reinforcement learning (RL) topics, including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL using neural simulation for autonomous driving.
- Explore fundamental RL topics with broader applications, potentially incorporating imitative behavior learning and reward learning.
- Collaborate with other Research Scientists and interns on research publications for submission to top-tier conferences.
- Work with Research Engineers and engineering teams to test and deploy algorithms into autonomy and robotics products.
Requirements
- Strong research record in RL and VLA post-training for autonomous systems and robotics, with publications in top-tier conferences or journals in computer vision, machine learning, and robotics.
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields.
- 1+ year of research experience in autonomy, self-driving, or a related field.
- Passion for next-generation, scalable autonomy and robotics for real-world systems.
- Strong research skills and ability to work independently and collaboratively.
- Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training.
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