2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving (Bachelor's Degree)
General Motors is a leading automotive company focused on innovation and safety. The role involves developing and optimizing AI training platforms to enhance autonomous driving performance through improved data processing pipelines and model training workflows.
Responsibilities
- Develop scalable infrastructure and tools to support model training, regression, and rules-based models
- 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
Skills
- Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's degree in computer science or a related technical field
- 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 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
- Intent to return to degree-program after the completion of the internship
- Demonstrated software engineer experience via an internship, work experience, coding competitions
- Familiarity with AI –assisted engineering tools (e.g., for code generation, model analysis, or experiment planning) to enhance productivity and understanding of ML systems
- 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
- 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
Company Overview