Research Engineer - Autonomy

Applied Intuition • Mountain View, CA

70d • $158,000 - $304,000 • Remote

About The Position

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen 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, Seoul, and Tokyo. 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. (Note: For EpiSci job openings, fully remote work will be considered by exception).

Requirements

• Hands-on experience with end-to-end autonomy, vision-language-action model, reinforcement learning, multi-view perception and ML planner
• A passion for scalable, data-driven autonomy for real-world systems
• Strong research skills and the ability to work both independently and collaboratively on projects

Nice To Haves

• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Experience with training with large-scale data and ML models and/or applying language modality in AV stacks
• Passion for building and shipping customer-focused software frameworks or tools

Responsibilities

• Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
• Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools

Benefits

• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees