Principal Machine Learning Scientist, Trajectory Generation

General Motors (GM)

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Mountain View, CA
Salary
$269,400–$412,600 / yr
Posted
81 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $341k
$157k most similar roles pay here $440k

This role pays more than 97% of similar roles. Most pay $200,437–$256,950 — the shaded band above. At the midpoint, this role pays about $341k versus about $229k 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 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · Principal Machine Learning Scientist, Trajectory Generation

As a Principal Machine Learning Scientist - Trajectory Generation within the Embodied AI organization, you will serve as a senior individual contributor focused on developing end-to-end machine learning solutions for autonomous driving performance. You will design, architect, and deploy advanced models to navigate diverse real-world scenarios while collaborating with cross-functional teams to integrate distillation recipes of Robotics foundation models. Your daily work involves applying reinforcement learning, guidance, and selection techniques to enhance model safety and reliability. The role requires expertise in Python, PyTorch, Numpy, Pandas, and Apache Spark to build and scale large training pipelines. You will translate research into practical applications by managing projects from ideation to production deployment. This position addresses the technical challenges of autonomous navigation, specifically focusing on creating reliable onboard capabilities for vehicles operating in complex environments.

What you'll do

  • Design and implement machine learning solutions for autonomous driving performance.
  • Apply RL, guidance, and selection techniques to improve model safety and reliability.
  • Integrate distillation recipes of robotics foundation models into onboard driving systems.
  • Conduct research on the latest advancements in AI frameworks and libraries.
  • Lead projects from initial ideation through to final production deployment.
  • Build and scale large-scale training pipelines for distributed development teams.
  • Mentor junior engineers and foster a culture of knowledge sharing.

What we're looking for

  • Bachelor’s, Master’s, or PhD degree in Computer Science with a focus in Robotics, Machine Learning, or a related field.
  • Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
  • Proven experience delivering applied research in the wild while maintaining best practices under tight deadlines.
  • Proficiency in Python and frameworks such as PyTorch.
  • Experience building and scaling performant, distributed large model training pipelines.
  • Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
  • Experience deploying foundation models into production environments and understanding the end-to-end process.
  • Previous experience in Robotics or Autonomous Driving.

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