Senior Machine Learning Engineer – AI Core Infrastructure
Description For Senior 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. This senior-level position offers an opportunity to shape the future of AI at GM, working on enterprise-wide AI infrastructure that impacts everything from customer vehicle experiences to manufacturing innovation.
As a Senior Machine Learning Engineer, you'll be responsible for designing and building advanced AI technologies that integrate into GM's business strategies and operational workflows. The role involves hands-on technical contribution, focusing on building core infrastructure components for AI/ML workflows, including data pipelines, fine-tuning frameworks, and evaluation tools.
The position offers a competitive salary range of $152,000 to $230,000, along with comprehensive benefits including health coverage, retirement plans, and GM vehicle discounts. Working in Mountain View, CA, you'll be part of a hybrid work environment, requiring office presence three times per week.
This is an exceptional opportunity for experienced ML engineers who want to make a significant impact in the automotive industry while working with cutting-edge AI technologies. You'll be part of GM's vision for Zero Crashes, Zero Emissions, and Zero Congestion, contributing to meaningful change in the automotive industry through AI innovation.
The role requires strong expertise in Python and modern AI frameworks, with experience in cloud-based AI system deployment. You'll collaborate with researchers and industry partners, scale architecture for large-scale applications, and help define AI best practices across the company. This position offers growth opportunities while working on challenging problems at the intersection of AI and automotive technology.
Responsibilities For Senior 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
Requirements For Senior Machine Learning Engineer – AI Core Infrastructure
- 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
Benefits For Senior Machine Learning Engineer – AI Core Infrastructure
- Health and wellbeing benefits
- Dental and vision coverage
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Life insurance
- Paid vacation & holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Bonus potential based on company and individual performance
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