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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 GMs enterprise-wide AI infrastructurefrom customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. Were building the data compute and deployment layers necessary to scale cutting-edge AI systems across GMs 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 GMs 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 GMs future through the high-impact AI systems you develop. You will design and build advanced AI technologies then integrate them into GMs business strategies culture and operational be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. Youll work closely with other engineers and researchers to deliver performant production-grade systems.
What Youll 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
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 152000 to 230000. 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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Required Experience:
Senior IC
Full-Time