Staff AI / ML Engineer - Embodied AI

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Austin, TX · Detroit, MI · Warren, MI · Milford, MI · Mountain View, CA
Salary
$218,800–$335,300 / yr
Posted
102 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $277k
$153k most similar roles pay here $355k

This role pays more than 88% of similar roles. Most pay $172,375–$246,150 — the shaded band above. At the midpoint, this role pays about $277k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Staff AI / ML Engineer - Embodied AI

As a Staff AI/ML Engineer in the Embodied AI organization at General Motors, you will serve as a senior individual contributor developing and deploying machine learning solutions that enhance autonomous driving performance. Your daily tasks include designing advanced ML models for safe vehicle behavior, applying techniques like unsupervised pre-training and reinforcement learning to solve real-world challenges, and collaborating with cross-functional teams to deploy these models into onboard systems. You will also contribute to applied research, build efficient infrastructure, and mentor engineers through technical collaboration and code reviews. The ideal candidate has a strong background in machine learning, proficiency in PyTorch and Python, experience with large-scale foundation models, and the ability to deliver ML solutions under real-world constraints. This role involves working on cutting-edge autonomous driving technology at scale, requiring expertise in robotics and data processing tools like NumPy and Apache Spark.

What you'll do

  • Design and implement ML solutions for autonomous driving in line with GM’s objectives.
  • Apply advanced techniques like reinforcement learning to solve real-world vehicle behavior issues.
  • Build efficient infrastructure and pipelines for rapid model iteration and deployment.
  • Mentor engineers through technical collaboration, code reviews, and knowledge sharing.
  • Contribute to the continuous improvement of autonomy stack by documenting best practices.

What we're looking for

  • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
  • Experience with large-scale foundation models and alignment methods in real-world systems.
  • Proficiency in PyTorch, Python, NumPy, Pandas, and Apache Spark.
  • Demonstrated ability to deliver ML solutions under real-world constraints.
  • Strong experience deploying ML models into production environments.
  • Ability to design and build efficient infrastructure for fast-paced model iterations.
  • Experience in robotics or autonomous driving systems preferred.

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