2026 Summer Intern - Ai/ml Engineer - Av Ml Infrastructure (master's)
General Motors
San Francisco, California, USA
Base: $9,100 - $10,600 pm; bonus/equity: not speci...
Hybrid
Develop scalable infrastructure and tools
Improve data processing pipelines
Accelerate model training and inference workflows
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more
Job Summary
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more.
As an intern, you will help develop and optimize our AV ML Infra by improving data processing pipelines, scheduling, accelerating model training and inference workflows, and/or enhancing testing infrastructure like Carbench /HIL.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
Matching Summary
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more.
Salary
Base: $9,100 - $10,600 per month; Bonus/Equity: Not specified; Benefits: Paid US GM Holidays, GM Family First Vehicle Discount Program, Result-based potential for growth within GM, Intern events
Skills & Requirements
Must-have
Develop scalable infrastructure and tools
Improve data processing pipelines
Accelerate model training and inference workflows
Enhance testing infrastructure
Support tool development, instrumentation, and system monitoring
Nice-to-have
Familiarity with AI-assisted engineering tools
Demonstrated creativity and quick problem-solving
Research and/or work experience in machine learning infrastructure
Experience with distributed systems
Key Requirements
Master's degree in computer science or related field
Experience in systems software or algorithms
Experience with modern object-oriented programming languages