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.