Senior Machine Learning Engineer – AI Core Infrastructure

Descripción

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 

[Additional Description]

Your Skills & Abilities (Required Qualifications)​​  

• 4+ years in software engineering or ML infrastructure (or post-graduate equivalent) 

• Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving) 

• Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, TensorFlow etc.) 

• Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)  

• Fluency in Python, and at least one of C++/Go/Java.

What Will Give You A Competitive Edge (Preferred Qualifications)​  

• Experience in the automotive industry or working with physics-based simulations 

• Experience with natural language AI, such as customization, summarization and translation 

• Experience with test-driven development. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role is 152,000 to 230,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits. 

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