Staff AI/ML Engineer - Future Sensing, Embodied AI

Staff AI/ML Engineer - Future Sensing, Embodied AI

Overview

Imagine helping shape the absolute future of how millions of people move across the globe. At General Motors, our teams are completely redefining mobility through human-centered design and cutting-edge software. We are looking for a Staff AI/ML Future Sensing Engineer to join our Embodied AI team and spearhead machine learning solutions that power safe and reliable autonomous vehicles. Best of all? This is a fully remote role open to talented minds worldwide. If you love solving complex spatial and perception problems, you belong here.

Key Responsibilities

  • Drive end-to-end technical work that directly informs next-generation sensing architecture decisions for autonomous fleets.
  • Design, evaluate, and scale advanced machine learning and perception solutions that impact real-world driving performance.
  • Collaborate closely with cross-functional hardware and software teams to bridge the gap between theoretical models and deployed vehicle behavior.
  • Analyze complex edge cases and simulation outputs to continuously improve sensing reliability and safety.

Requirements

  • Extensive professional experience designing and deploying machine learning models for computer vision, robotics, or autonomous systems.
  • Strong background in sensor fusion, perception pipelines, and spatial intelligence architectures.
  • Proven track record of driving technical direction as a senior individual contributor in fast-paced engineering environments.
  • Exceptional coding skills in Python and C plus plus alongside deep familiarity with modern deep learning frameworks.

What You'll Gain

  • The chance to work on world-changing technology that impacts global transportation at scale.
  • Complete location independence with a fully remote work model that accommodates your lifestyle.
  • Generous compensation packages and comprehensive benefits designed to support you and your family.
  • A collaborative culture that values bold ideas, continuous learning, and creative problem-solving.

How to Apply

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