Staff ML Engineer - Offboard Embodied AI

GM-posted 12 days ago
Full-time • Mid Level
Hybrid • Mountain View, CA
5,001-10,000 employees
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In t his role, you will be at the forefront of developing and deploying large-scale Foundation Models (FMs) that enhance our automotive technologies at General Motors focused on Autonomous Driving & Robotics. You will work closely with a dynamic team of AI and ML researchers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications . Your contributions will directly impact our ability to deliver cutting-edge solutions that meet the needs of our customers.

  • Design and implement large-scale Foundation Models for various applications, leveraging recent advancements in AI and robotics
  • Collaborate with cross-functional teams to integrate & built distillation recipes of Robotics foundation models for onboard driving models
  • Analyze and optimize model performance, ensuring efficient training and deployment.
  • Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
  • Lead projects from ideation to deployment, documenting learnings and best practices along the way.
  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.
  • Bachelor’s , Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning , or a related field.
  • Proven experience working with large-scale Foundation Models, including LLMs , VLAs and vision-focused models.
  • Proficiency in frameworks such as PyTorch and TensorFlow, with experience in libraries like HuggingFace and OpenAI GPT.
  • Strong data processing skills using tools like Numpy , Pandas, and Apache Spark.
  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
  • Experience deploying foundation models into production environments and understanding the end-to-end process.
  • Previous experience in Robotics or Autonomous Driving .
  • From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
  • Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
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