Principal Machine Learning Engineer - AI Core Infrastructure

Company: General Motors
Location: Mountain View
Posted on: June 1, 2025

Job Description:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View office three times per week, at minimum.Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM's enterprise-wide AI infrastructure - from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. We're building the data, compute, and deployment layers necessary to scale cutting-edge AI systems across GM's global operations.Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and deployment of AI models across the organization. We collaborate with vehicle and manufacturing teams to deliver high-impact AI solutions across GM's portfolio, championing and promoting cutting-edge AI technologies while ensuring responsible AI practices.The Role:As a Principal Machine Learning Engineer on the AI Core Infrastructure team, you will play a critical role in shaping GM's future through the high-impact AI systems you develop. You will design and build advanced AI technologies and integrate them into GM's business strategies, culture, and operational workflows. You'll shape the long-term technical vision for AI infrastructure at GM, drive cross-organizational strategy, and build scalable systems that empower AI innovation across GM's business. Additionally, you will collaborate with senior research leaders and external partners to push the frontier of AI technology.What You'll Do:

• 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 safety and guardrails
• Provide technical guidance to internal teams and business partners
• Lead cross-functional development efforts with engineering and product teams
• Mentor engineers and foster technical growth across teams
• Drive platform-wide architecture decisions focusing on scale, reliability, and performance
• Set the long-term direction for AI infrastructure across GM's enterprise
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Keywords: General Motors, Pleasanton , Principal Machine Learning Engineer - AI Core Infrastructure, Engineering , Mountain View, California