Principal Ml Engineer - Embodied Ai Scaling Foundations

General Motors

Multiple Locations
Hybrid
Foundation model pre-training
Large-scale foundation models
Pytorch and python proficiency
Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example

Job Summary

  • Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
  • As a Principal Technical Lead in the Embodied AI Data Foundations organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance.
  • GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Matching Summary

Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.

Skills & Requirements

Must-have

  • Foundation Model pre-training
  • large-scale Foundation Models
  • PyTorch and Python proficiency
  • building and scaling large model training pipelines
  • data processing with Numpy, Pandas, Spark
  • deploying foundation models into production

Nice-to-have

  • human-centered design process
  • collaborative, high-impact team
  • culture of knowledge sharing
  • continuous improvement

Key Requirements

  • Bachelor’s, Master’s or PhD degree in Computer Science
  • Proven experience working with large-scale Foundation Models
  • Proven experience delivering applied research
  • Previous experience in Robotics or Autonomous Driving

Work Rights

Not specified

Tailored Resume

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