Research Scientist - Autonomy

Applied Intuition•Sunnyvale, CA

12d•Onsite

About The Position

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. We are looking for a passionate Research Scientist to join the Research Team at Applied Intuition. This team conducts world-class research for autonomous systems with applications to autonomous driving and general robotics. You will have access to millions of miles of large-scale data and industry-leading simulators and tools to develop cutting-edge models at scale. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industry 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.

Requirements

Strong research record in the fields of AI and autonomous systems with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
Passion for next-generation, scalable autonomy for real-world autonomous systems
Strong research skills and the ability to work both independently and collaboratively on projects

Nice To Haves

Hands-on experience in at least one of the following fields:
End-to-end/differentiable autonomy stack
Reinforcement learning
Multi-modal foundation models
Multi-view perception
ML-based prediction and planning

Responsibilities

Conduct research on topics including: end-to-end autonomy, vision-language-action model, reinforcement learning
Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and ADAS products