Senior Ml Engineer - Embodied Ai Onboard Autonomy

General Motors

Base: $158,000.00 to $241,900.00; bonus/equity: an...
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End-to-end machine learning solutions
Autonomous driving performance
Real-time inference
** General Motors is seeking a Senior AI/ML Engineer to lead the development of advanced machine learning solutions for autonomous driving. The ideal candidate will possess expertise in deep learning, computer vision, and software engineering, with a focus on real-time applications. **

Job Summary

  • As a Senior AI/ML Engineer within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance.
  • Your role is pivotal in designing, architecting, and deploying advanced ML models that translate raw sensor data into actionable driving behaviors, enabling vehicles to robustly navigate diverse real-world scenarios and conditions.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, paid vacation & holidays, and more.

Matching Summary

Match Score: 75

** General Motors is seeking a Senior AI/ML Engineer to lead the development of advanced machine learning solutions for autonomous driving. The ideal candidate will possess expertise in deep learning, computer vision, and software engineering, with a focus on real-time applications. **

Salary

Base: $158,000.00 to $241,900.00; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • end-to-end machine learning solutions
  • autonomous driving performance
  • real-time inference
  • neural network architectures
  • inference optimization strategies
  • Python and C++ proficiency

Nice-to-have

  • human-centered design process
  • state-of-the-art alignment approaches
  • understanding complex environments
  • handling uncertainty gracefully
  • adapting to changing conditions

Key Requirements

  • Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
  • 3+ years of modern machine learning techniques
  • Extensive experience developing and deploying advanced ML systems
  • Proven track record as a technical leader
  • Deep expertise in state-of-the-art computer vision techniques
  • Extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX)

Work Rights

Not specified

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