Staff Machine Learning Engineer – AI Core Infrastructure
Description For Staff 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 AI innovation in the automotive industry. As a Staff Machine Learning Engineer, you'll play a crucial role in developing and scaling enterprise-wide AI infrastructure that powers everything from customer in-vehicle experiences to manufacturing innovation.
The position involves designing and implementing advanced AI technologies that will be integrated across GM's global operations. You'll be responsible for building and scaling core AI infrastructure and tools that enable rapid development, training, fine-tuning, evaluation, and deployment of AI models throughout the organization. This role requires collaboration with vehicle and manufacturing teams to deliver high-impact AI solutions across GM's portfolio while ensuring responsible AI practices.
Working in Mountain View, California, with a hybrid schedule (minimum three days in office), you'll lead large-scale infrastructure initiatives and set technical direction across projects. The role offers a competitive salary range of $186,000 to $285,000, plus bonus potential based on company and individual performance. GM provides comprehensive benefits including health, dental, vision, retirement plans, and unique perks like a company vehicle program.
This is an exceptional opportunity for an experienced ML engineer looking to make a significant impact in the automotive industry's AI transformation. You'll be working at the intersection of cutting-edge AI technology and automotive innovation, helping drive GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion.
Responsibilities For Staff Machine Learning Engineer – AI Core Infrastructure
- 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 AI safety/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 the teams
Requirements For Staff Machine Learning Engineer – AI Core Infrastructure
- 7+ 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
- Proven ability to architect production-ready distributed systems
- Highly developed communication and collaboration skills
Benefits For Staff Machine Learning Engineer – AI Core Infrastructure
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays
- Tuition assistance
- Employee assistance program
- GM vehicle discounts
- Company vehicle program
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