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Principal ML Engineer - Embodied AI

Leading automotive company focused on achieving Zero Crashes, Zero Emissions and Zero Congestion through innovative technology and engineering.
$259,000 - $396,300
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Automotive · Robotics

Description For Principal ML Engineer - Embodied AI

General Motors is seeking a Principal ML Engineer to join their Embodied AI team, focusing on developing and deploying large-scale Foundation Models for automotive technologies and autonomous driving. This role combines cutting-edge AI research with practical applications in autonomous vehicles and robotics. Based in Mountain View, this hybrid position offers a competitive salary range of $259,000-$396,300 plus performance bonuses.

The role involves working with state-of-the-art AI technologies, scaling foundation models to handle billions of examples, and collaborating with cross-functional teams on robotics and autonomous driving applications. You'll be responsible for designing and implementing scaling technologies, managing distributed training infrastructure, and leading projects from conception to deployment.

The ideal candidate should have advanced education in Computer Science with a focus on Robotics/ML, extensive experience with large-scale Foundation Models, and proven expertise in data scaling and model deployment. Technical proficiency in PyTorch, HuggingFace, and data processing tools is essential.

GM offers a comprehensive benefits package, including medical coverage and relocation assistance. The company's mission of achieving Zero Crashes, Zero Emissions, and Zero Congestion provides an opportunity to work on transformative technology that will shape the future of transportation. This role offers the perfect blend of cutting-edge AI research and practical implementation in the automotive industry.

Last updated 15 days ago

Responsibilities For Principal ML Engineer - Embodied AI

  • Design and implement technologies for Foundation Models scaling
  • Scale up foundation model pre-training with data to billions+ of examples
  • Work on training and eval infrastructure across distributed machines and GPUs
  • Collaborate on distillation recipes of Robotics foundation models
  • Lead projects from ideation to deployment
  • Mentor junior team members
  • Stay updated on latest AI scaling frameworks and libraries

Requirements For Principal ML Engineer - Embodied AI

Python
  • Bachelor's, Master's or PhD in Computer Science with focus in Robotics/Machine Learning
  • Experience with large-scale Foundation Models, including LLMs, VLAs and vision models
  • Experience in solving data scaling challenges
  • Proficiency in PyTorch and libraries like HuggingFace and OpenAI GPT
  • Experience building and scaling large model training pipelines
  • Strong data processing skills using Numpy, Pandas, and Apache Spark
  • Excellent communication skills
  • Experience deploying foundation models in production
  • Previous experience in Robotics or Autonomous Driving

Benefits For Principal ML Engineer - Embodied AI

Medical Insurance
Dental Insurance
Vision Insurance
Relocation Benefits
  • Bonus potential based on company and individual performance
  • Relocation benefits
  • Comprehensive benefits package from day one

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