Payroll Analyst supporting payroll operations and system enhancements at Old Republic Title. Serving as a subject matter expert for UKG BI reporting, payroll system upgrades, and process improvement initiatives.
GM
Hybrid Summer Intern – Machine Learning Systems Engineer – Autonomous Driving
Posted 2 months ago
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
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