Principal AI / ML Engineer - Embodied AI

General Motors (GM)

Remote Hybrid

Quick summary

Work type: Remote
Location: Mountain View, California · Austin, TX · Detroit, MI · Warren, MI · Milford, MI
Salary: $296,300–$453,900 / yr
Posted: 102 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $375k

$138k most similar roles pay here $488k

This role pays more than 99% of similar roles. Most pay $172,375–$246,150 — the shaded band above. At the midpoint, this role pays about $375k 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.

Most-posted roles

View all roles at General Motors (GM)

At a glance

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

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As a Principal Technical Lead in the Embodied AI organization at General Motors, you will drive advanced machine learning solutions for autonomous driving, focusing on designing and deploying models that ensure safe navigation. Your daily tasks include applying cutting-edge techniques like unsupervised pre-training and reinforcement learning to enhance model performance, collaborating with cross-functional teams to integrate foundation models, and mentoring junior engineers. You must have a strong background in robotics or machine learning, experience with large-scale Foundation Models, and proficiency in PyTorch and Python. Additionally, you should be skilled in data processing tools like Numpy and Apache Spark, and capable of deploying models into production environments efficiently. This role is remote-friendly but requires on-site presence in specific locations if within a 50-mile radius.

Skills

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

What you'll do

Design and implement advanced ML technologies aligned with GM’s autonomous driving mission.
Apply cutting-edge techniques like unsupervised pre-training, imitation learning, and reinforcement learning to enhance model performance.
Lead the integration of foundation models into onboard driving systems for improved reliability and safety.
Conduct research on AI frameworks and libraries to stay updated with industry advancements.
Mentor junior team members and document best practices throughout project lifecycle.

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 machine learning applications.
Strong data processing skills using Numpy, Pandas, and Apache Spark.
Experience building and scaling large model training pipelines.

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