- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 29, 2026
- Salary
- $151,000–$258,000 a year
Machine Learning Engineer - Behavior and Planning
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that generate driving trajectories for autonomous vehicles and other road users in the scene
- Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development
- Collaborate with perception and planning engineers as well as research teams on cross-team state-of-the-art models and techniques
Job requirements
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization.
- Experience with the end-to-end development cycle of deep learning models
- 2+ years of experience building production software using modern software practices
- Fluency in Python with intermediate experience in C++
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