Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV 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, collaborating 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 Senior 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 then integrate them into GM’s business strategies, culture, and operational workflows. You’ll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. You’ll work closely with other engineers and researchers to deliver performant, production-grade systems.
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 our 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
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