Research Intern, Applied Intuition
Reinforcement Learning, Self-Driving
$65 per hour
Office located in Sunnyvale, CA
Physical AI bringing intelligence to moving machines
Open for applications
Physical AI bringing intelligence to moving machines
1001+ employees
Open for applications
$65 per hour
Office located in Sunnyvale, CA
1001+ employees
Company mission
To build physical AI that create a safer, more prosperous world.
Role
Who you are
- Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
- Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
- 1+ year of research experience in autonomy, self-driving, or related field
- Passion for next-generation, scalable autonomy and robotics
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
What the job involves
- We are looking for multiple passionate Research Interns 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
- Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
- Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
- Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
Our take
Autonomous vehicles present a lot of challenging problems to engineers, particularly in terms of safety and reliability, and testing and development can be infamously slow. Applied Intuition provides software to run simulations and tests for autonomous vehicles more quickly and effectively, speeding up the development and launch of AVs for multiple industries.
With big companies such as Tesla and Google focused on developing automation, Applied Intuition has the scope to provide the software that makes it a reality. The company’s suite of simulation, validation, and drive log management software aids in the more efficient deployment of autonomous vehicles, with companies such as Toyota, Honda, Nissan, and General Motors relying on its solutions.
As the autonomous vehicles market accelerates, Applied Intuition is well set for growth, especially as it continues to expand its capabilities. Notable developments include the acquisitions of CarSim, Scenebox and Embark Trucks, as well as partnerships with AMBA and Valeo. All these efforts seek to bolster the company's offering towards supporting the faster and safer deployment of AVs. A $600 million Series F round, awarded in 2025, will go towards its next phase of product development, alongside key hires across its product team.
Steph
Company Specialist at Welcome to the Jungle
Insights
68% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2025
$600m
SERIES F
Mar 2024
$250m
SERIES E
Total funding: $1.2bn
Company HQ
Sunnyvale West, Sunnyvale, CA
Leadership
Peter Ludwig
(Co-Founder & CTO)Prior to co-founding Applied Intuition in 2017, Peter was a Product Manager at Google for 5 years.
Qasar Younis
(Co-Founder & CEO)Qasar previously founded TalkBin where they served as the CEO. They also served as the COO at Y Combinator and as a Group Product Manager of Google Maps at Google.
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