Staff Machine Learning Engineer - Mapping

General Motors

Multiple Locations
Base: $185,100 to $335,300; bonus/equity: incentiv...
Ml-driven map reconstruction systems
Multi-modal sensor data
End-to-end pipelines for offline map reconstruction
Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data

Job Summary

  • Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data.
  • Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data.

Salary

Base: $185,100 to $335,300; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs, retirement savings plan, tuition assistance, GM vehicle discounts

Skills & Requirements

Must-have

  • ML-driven map reconstruction systems
  • multi-modal sensor data
  • end-to-end pipelines for offline map reconstruction
  • state-of-the-art computer vision and ML techniques
  • cross-functional technical initiatives
  • systems thinking for end-to-end ML systems

Nice-to-have

  • mapping, localization, perception, or robotics systems
  • 3D perception, BEV representations, or multi-view geometry
  • AV sensor data challenges
  • simulation-based validation workflows
  • mentoring senior engineers

Key Requirements

  • 5+ years of experience building and deploying ML/CV systems
  • Proficiency in Python for ML development
  • Experience building large-scale data pipelines for ML
  • Proven ability to lead complex, cross-functional technical initiatives
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or related field, or equivalent industry experience

Work Rights

Not specified

Tailored Resume

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