Hybrid Summer Intern – Machine Learning Systems Engineer – Autonomous Driving

at General Motors

• Job title: Summer Intern – Machine Learning Systems Engineer – Autonomous Driving
• Job type: Internship
• Experience level: Entry level
• Salary: $7,300 - $10,600 per month
• Degree requirement: Postgraduate Degree
• Tech skills: Distributed Systems, Java, Kubernetes, Python, Ray, Spark
• Location requirements: Hybrid, San Francisco, United States

About the role

• Intern developing scalable infrastructure and tools for AI training platform at GM. Collaborate with engineering team to enhance productivity and accelerate model training workflows.

Responsibilities

• Develop scalable infrastructure and tools to support model training, regression, and rules-based models, operations, and inference
• Suggest, collect and synthesize requirements and create effective feature roadmap
• Code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Requirements

• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master's degree in computer science or a related technical field
• Experience in systems software or algorithms
• Experience with modern object-oriented programming languages (e.g., Java, C++, Python)
• Strong communication skills with experience collaborating across cross-functional teams
• Able to work fulltime, 40 hours per week
• Demonstrated software engineering experience via an internship, work experience, coding competitions is preferred
• Familiarity with AI-assisted engineering tools (e.g., for code generation, model analysis, or experiment planning)
• Demonstrated creativity and quick problem-solving capabilities
• Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
• Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm)
• Experience in CUDA, OpenCL, Triton or other accelerator programming language
• Intent to return to degree-program after the completion of the internship
• Graduating between December 2026 and August 2027

Benefits

• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers