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Applied Intuition

Machine Learning Engineer - Behavior and Planning

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Description

You will prototype, evaluate, refine, and deploy machine-learning algorithms for driving trajectories and road-user behavior. You will build behavior-focused software and infrastructure, generate training data with perception engineers, and collaborate with planning and research teams on advanced models.

Responsibilities

  • Prototype, evaluate, refine, and deploy machine-learning algorithms for driving trajectories
  • Build software and infrastructure for behavior-specific machine-learning development
  • Collaborate with perception, planning, and research engineers on models and techniques

Requirements

  • Expertise in modeling, input pipelines, evaluation, deployment, or model optimization
  • Experience with the end-to-end deep-learning model development cycle
  • 2+ years of production software development experience
  • Python fluency
  • Intermediate C++ experience

Benefits

  • Equity
  • Health, dental, vision, life, and disability insurance
  • 401k retirement plan with employer match
  • Learning stipend
  • Wellness stipend
  • Paid time off

Skills

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