Senior AI/ML Engineer, AV Pipelines & Lineage

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$155,420–$395,900 / yr
Posted
138 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $276k
$127k most similar roles pay here $425k

This role pays more than 89% of similar roles. Most pay $185,375–$246,150 — the shaded band above. At the midpoint, this role pays about $276k versus about $216k 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.

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View all roles at General Motors (GM)

At a glance

TL;DR · Senior AI/ML Engineer, AV Pipelines & Lineage

As a Senior AI/ML Engineer on the AV Pipelines & Lineage team at GM, you will design and implement scalable ML infrastructure solutions to support the end-to-end AI lifecycle for autonomous vehicles. Your responsibilities include project ownership from inception to completion, contributing to product roadmaps, and making critical technical decisions while collaborating across teams. You will also mentor junior engineers and conduct technical interviews. The role requires expertise in cloud technologies like GCP or Azure, proficiency in Python, C++, or Golang, and experience with Kubernetes and open-source orchestration platforms such as Kubeflow and Flyte. This position is ideal for someone passionate about autonomous vehicle technology and skilled in building scalable systems at scale.

What you'll do

  • Design and implement scalable distributed computing solutions using cloud technologies like GCP and Azure.
  • Own technical projects from inception to completion, contributing to the product roadmap and making critical decisions.
  • Mentor junior engineers through onboarding, interviews, and ongoing development.
  • Develop and maintain large-scale ML infrastructure systems in Python or similar languages.
  • Engage in code reviews and design discussions, ensuring project impact across multiple teams.

What we're looking for

  • 5+ years of experience in large-scale distributed systems and cloud technologies.
  • Proficiency in Python, C++, Golang, or similar languages for building scalable infrastructure.
  • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
  • Strong background in developing and maintaining systems at scale.
  • Understanding of machine learning models/pipelines and open-source orchestration platforms.
  • Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related field.
  • Proven ability to solve complex problems efficiently and mentor junior engineers.

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