Principal Machine Learning Engineer

General Motors (GM)

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Sunnyvale, CAAustin, TXDetroit, MIWarren, MIMilford, CTMountain View, CA
Salary
$296,300–$453,200 / yr
Posted
176 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $375k
$151k most similar roles pay here $486k

This role pays more than 99% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $375k versus about $223k 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.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Principal Machine Learning Engineer

Principal Machine Learning Engineer As a Principal Machine Learning Engineer, you will lead the design and advancement of an AI platform focused on large-scale training and cloud inference. You will architect and optimize core infrastructure to support multi-modal models and advanced driving systems while managing distributed training, data processing pipelines, and PyTorch model optimization. Your daily work involves collaborating with data scientists and software developers to bridge the gap between research and production, ensuring reliability and scalability across the platform. The role requires expertise in Python, PyTorch or TensorFlow, C++, and experience with GPU computing and cloud environments like AWS, GCP, or Azure. You will solve complex technical challenges involving DDP/FSDP and performance-critical components to enable high-throughput training. This position provides critical leadership in scaling AI technologies specifically for the development of autonomous driving systems.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Architect and build core AI/ML platform infrastructure to support massive-scale model training.
  • Optimize large-scale distributed training and data processing pipelines for multi-modal models.
  • Implement PyTorch model optimizations, including operation fusion and memory fragmentation management.
  • Establish best practices for reliability, scalability, and performance across the AI/ML platform.
  • Provide technical leadership and mentorship on platform design and emerging technologies.
  • Develop infrastructure to accelerate training throughput and enable next-generation autonomous driving systems.
  • Align platform capabilities with business needs and strategic AI initiatives through cross-functional partnership.

What we're looking for

  • Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
  • 8+ years of professional software engineering experience.
  • 4+ years of specialized experience in the AI/ML domain, such as enabling distributed training for large-scale models.
  • Strong programming skills in Python with proficiency in PyTorch or TensorFlow.
  • Experience with distributed systems, GPU computing, and cloud environments like AWS, GCP, or Azure.
  • Proficiency in C++ for performance-critical components.
  • Expertise in profiling, analysis, debugging, and optimizing training performance.
  • Ability to lead cross-functional projects and provide technical mentorship to teams.

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