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Senior Machine Learning Engineer – AI Core Infrastructure

Global automotive company leading innovation in zero crashes, zero emissions, and zero congestion transportation solutions.
$152,000 - $230,000
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
4+ years of experience
AI · Automotive

Description For Senior Machine Learning Engineer – AI Core Infrastructure

General Motors is seeking a Senior Machine Learning Engineer to join their AI Core Infrastructure team, reporting directly to the Chief AI Officer. This is a high-impact role focused on building and scaling enterprise-wide AI infrastructure that powers everything from customer in-vehicle experiences to manufacturing innovation. The position offers a competitive salary range of $152,000 to $230,000, along with comprehensive benefits and the opportunity to work in a hybrid environment from Mountain View, CA.

The role involves designing and developing cutting-edge AI infrastructure components, including data pipelines, fine-tuning frameworks, and evaluation tools. You'll be working at the intersection of automotive innovation and artificial intelligence, contributing to GM's vision of zero crashes, zero emissions, and zero congestion. The position requires 4+ years of experience in software engineering or ML infrastructure, with strong expertise in modern AI algorithms, cloud-based GPU/TPU deployments, and programming languages like Python and C++/Go/Java.

As part of the AI Core Infrastructure team, you'll collaborate with researchers and industry partners, scale architecture for large-scale applications, and define AI best practices across the company. The role offers the chance to shape the future of automotive AI while working with cutting-edge technologies and frameworks like PyTorch and TensorFlow. GM provides a comprehensive benefits package including health coverage, retirement plans, tuition assistance, and unique perks like vehicle discounts.

This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in the automotive industry while working with enterprise-scale AI systems. The hybrid work arrangement requires minimum three days per week in the Mountain View office, offering a balance between collaborative in-person work and flexibility. The position comes with potential relocation benefits and is part of a team driving technological innovation at one of the world's largest automotive companies.

Last updated 2 days ago

Responsibilities For Senior Machine Learning Engineer – AI Core Infrastructure

  • Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
  • Collaborate with researchers and industry partners to understand technical requirements and measure impact
  • Scale architecture to deploy reliably and performantly across large-scale applications
  • Define best practices for AI software engineering across the company, including AI safety/guardrails
  • Provide technical guidance to internal teams and business partners

Requirements For Senior Machine Learning Engineer – AI Core Infrastructure

Python
  • 4+ years in software engineering or ML infrastructure (or post-graduate equivalent)
  • Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving)
  • Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, TensorFlow etc.)
  • Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)
  • Fluency in Python, and at least one of C++/Go/Java

Benefits For Senior Machine Learning Engineer – AI Core Infrastructure

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Relocation Benefits
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation & holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts

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