Principal Machine Learning Scientist - Trajectory Generation

General Motors (GM)

Remote

Quick summary

Work type: Remote
Location: Mountain View, CA
Salary: $269,400–$412,600 / yr
Posted: 103 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k

This role $341k

$143k most similar roles pay here $442k

This role pays more than 98% of similar roles. Most pay $177,762–$249,750 — the shaded band above. At the midpoint, this role pays about $341k versus about $214k 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 127 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 · Principal Machine Learning Scientist - Trajectory Generation

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As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization at General Motors, you will lead the design and deployment of advanced machine learning models to enhance autonomous driving performance. Your daily responsibilities include applying reinforcement learning, guidance, and selection techniques to improve model reliability and safety, collaborating with cross-functional teams to integrate robotics foundation models, conducting research on AI frameworks, mentoring junior engineers, and documenting best practices. The ideal candidate has a strong background in Robotics or Machine Learning, experience with large-scale Foundation Models, proficiency in PyTorch and Python, and expertise in data processing tools like Numpy, Pandas, and Apache Spark. This role requires deploying models into production environments while maintaining high standards for real-world impact and scalability.

Skills

PyTorch Python Apache_Spark Pandas Numpy Kubernetes AWS CI/CD Git Docker PostgreSQL Redis Prometheus Grafana RF_Library Robotics_Foundation_Models

What you'll do

Design and implement advanced ML technologies aligned with GM’s autonomous driving mission.
Apply reinforcement learning (RL) techniques to enhance model performance and ensure safety.
Integrate robotics foundation models into onboard driving systems for real-world applications.
Lead projects from conception through deployment, documenting best practices throughout.
Mentor junior engineers and foster a culture of continuous improvement in ML capabilities.

What we're looking for

Bachelor’s, Master’s or PhD in Computer Science with focus on Robotics and Machine Learning.
Proven experience working with large-scale Foundation Models and alignment methods.
Expertise in deploying foundation models into production environments.
Proficiency in PyTorch and Python for building scalable ML pipelines.
Strong data processing skills using Numpy, Pandas, and Apache Spark.
Experience in autonomous driving or robotics projects.

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