Principal Machine Learning Scientist, Trajectory Generation

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CA
Salary
$269,400–$412,600 / yr
Employment
Full-time
Posted
127 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $341k
$146k $441k
below market most similar roles pay here above market

This role pays more than 97% of similar roles. Most pay $196,712–$259,262 — the blue band above. At the midpoint, this role pays about $341k versus about $228k 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 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 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, you will join the Embodied AI organization as a senior individual contributor. You will design, architect, and deploy advanced machine learning models to ensure autonomous driving performance across diverse real-world scenarios. Your daily responsibilities include implementing techniques such as RL, guidance, and selection to enhance model safety and reliability. You will also lead projects from ideation to deployment, integrate distillation recipes for Robotics foundation models, and mentor junior engineers. The role requires proficiency in Python, PyTorch, Numpy, Pandas, and Apache Spark. You must possess experience with large-scale foundation models, alignment methods, and distributed training pipelines. This position specifically addresses the technical challenges of onboard ML capabilities and trajectory generation within the autonomous driving domain.

What you'll do

  • Design and architect end-to-end machine learning solutions for autonomous driving performance.
  • Implement RL, guidance, and selection techniques to improve model safety and reliability.
  • Integrate and align distillation recipes of Robotics foundation models for onboard driving.
  • Build and scale performant large model training pipelines for distributed teams.
  • Lead technical projects from initial ideation through to production deployment.
  • Mentor junior ML engineers and contribute to a culture of knowledge sharing.
  • Conduct research on the latest advancements in AI frameworks and libraries.

What we're looking for

  • 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 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 PyTorch and Python.
  • Proven experience building and scaling performant large model training pipelines for distributed teams.
  • 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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