Senior Ml Engineer - Embodied Ai Onboard Autonomy

General Motors

Base: $158,000.00 to $241,900.00; bonus/equity: in...
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End-to-end real-time onboard ml applications
Deep learning model development for safety-critical systems
State-of-the-art computer vision techniques
** General Motors is seeking a Senior AI/ML Engineer for their Onboard Embodied AI team, focusing on developing advanced machine learning solutions for autonomous vehicles. The role involves leading technical initiatives, collaborating with cross-functional teams, and mentoring other ML engineers to enhance onboard ML capabilities. **

Job Summary

  • This role involves driving the design and deployment of advanced onboard ML models that enable vehicles to robustly navigate diverse real-world scenarios.
  • The team leverages modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data.
  • General Motors offers a variety of health and wellbeing benefit programs including medical, dental, vision, and retirement savings plans.

Matching Summary

Match Score: 75

** General Motors is seeking a Senior AI/ML Engineer for their Onboard Embodied AI team, focusing on developing advanced machine learning solutions for autonomous vehicles. The role involves leading technical initiatives, collaborating with cross-functional teams, and mentoring other ML engineers to enhance onboard ML capabilities. **

Salary

Base: $158,000.00 to $241,900.00; Bonus/Equity: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement plan, paid vacation

Skills & Requirements

Must-have

  • End-to-end real-time onboard ML applications
  • Deep learning model development for safety-critical systems
  • State-of-the-art computer vision techniques
  • Python and C++ software engineering proficiency
  • PyTorch TensorFlow JAX framework experience

Nice-to-have

  • AV ADAS industry experience
  • Mentoring junior ML engineers
  • Cross-functional collaboration skills
  • Influence on technical roadmaps
  • Neural network architecture innovation

Key Requirements

  • Master's or Ph.D. in Machine Learning, Robotics, Computer Science, or related field
  • 3+ years of modern machine learning techniques experience
  • Proven track record as a technical leader in deep learning

Work Rights

Not specified

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