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Machine Learning Engineer - Behavior and Planning

Applied Intuition· Self-Driving Systems
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Sunnyvale$150k - $260kFull-timePosted 3mo ago

About the role

Machine Learning Engineer focused on ML-first behavior prediction and planning to predict future trajectories and interactions of road users, collaborating with perception, planning, and research teams, with deployments across multiple domains.

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

Qualifications

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
  • Expertise in at least one of: 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++

Skills

Required:ML-first behavior prediction and planningPythonC++End-to-end DL development

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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