Staff Ml Engineer - Embodied Ai Onboard Autonomy

General Motors

Mountain View, United States
$180,000 to $280,000; bonus potential: incentive p...
Hybrid
End-to-end machine learning solutions
Real-time inference
Robust autonomous driving performance
Join the Embodied AI team at General Motors to develop and deploy machine learning solutions supporting safe and reliable autonomous vehicle behavior

Job Summary

  • Join the Embodied AI team at General Motors to develop and deploy machine learning solutions supporting safe and reliable autonomous vehicle behavior.
  • As a Staff AI/ML Engineer, you will drive cutting-edge end-to-end machine learning solutions impacting autonomous driving performance, from sensor data to actionable driving behaviors.
  • The role involves leading critical technical initiatives, collaborating with cross-functional teams, mentoring ML engineers, and shaping the future of onboard ML capabilities for fully autonomous vehicles.

Matching Summary

Join the Embodied AI team at General Motors to develop and deploy machine learning solutions supporting safe and reliable autonomous vehicle behavior.

Salary

$180,000 to $280,000; Bonus Potential: Incentive pay program; Benefits: Not specified

Skills & Requirements

Must-have

  • end-to-end machine learning solutions
  • real-time inference
  • robust autonomous driving performance
  • state-of-the-art computer vision techniques
  • Python and C++ proficiency
  • PyTorch, TensorFlow, JAX experience

Nice-to-have

  • technical mentorship and thought leadership
  • influence technical roadmaps
  • company vehicle evaluation program
  • fostering inclusion and belonging

Key Requirements

  • Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field
  • 4+ years of experience with large-scale Foundation Models
  • Extensive experience developing and deploying advanced ML systems
  • Proven track record in developing robust deep learning models
  • Deep expertise in neural architectures and model optimization
  • Excellent communication, collaboration, and mentoring abilities
  • AV/ADAS experience is a big plus

Work Rights

Not specified

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