Principal Machine Learning Engineer – AI Core Infrastructure

Join General Motors' AI Core Infrastructure team, reporting directly to the Chief AI Officer, where you'll be at the forefront of enterprise-wide AI innovation. As a Principal Machine Learning Engineer, you'll play a crucial role in designing and scaling the foundational AI infrastructure that powers GM's global operations - from in-vehicle customer experiences to manufacturing innovation. The team focuses on building robust data pipelines, compute infrastructure, and deployment systems to enable AI capabilities across the company.

You'll be responsible for architecting and implementing cutting-edge AI technologies that integrate seamlessly into GM's business strategies and operational workflows. The role involves close collaboration with researchers, industry partners, and cross-functional teams to deliver high-impact AI solutions. You'll lead the technical vision for AI infrastructure, establish best practices for AI software engineering, and mentor other engineers while ensuring responsible AI practices.

The position offers a competitive salary range of $225,000 to $320,000, along with comprehensive benefits including health coverage, 401k, and unique perks like GM vehicle discounts and a company vehicle evaluation program. Based in Mountain View, California, this hybrid role requires in-office presence three times per week minimum.

This is an exceptional opportunity for an experienced ML engineer to shape the future of automotive AI technology while working on systems that will directly impact GM's vision of zero crashes, zero emissions, and zero congestion. The role combines technical leadership, strategic thinking, and hands-on development in a collaborative environment focused on innovation and scale.