2027 Summer Intern, AI/ML Engineer, Mapping (Masters)
Salary not listed • Warren, Michigan, United States of America • Internship
Posted 16d ago
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Job Location
Warren, Michigan, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
The Production Mapping organization is crucial for developing mapping solutions to support AV/ADAS at General Motors, delivering integrated and tested software for features like Super Cruise. In this role, you will tackle complex mapping challenges using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will be involved in the entire development lifecycle, from exploring vehicle data and developing models to building scalable data workflows, deploying solutions, and evaluating their performance. Key areas of focus include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.
Responsibilities
- Build, deploy, and optimize models and algorithms using cloud-based compute environments (e.g., Azure Databricks, Google Cloud Platform).
- Develop scripts for data workflow management using Python or PySpark.
- Analyze large datasets to identify trends and patterns.
- Present complex information using data visualization techniques.
- Create and maintain technical documentation.
- Complete training, learning, and skills development.
Requirements
- Currently enrolled in a full-time, degree-seeking Master's program in computer science or a related field.
- Able to work full-time, 40 hours per week.
- Proficient in Python and experienced with ML libraries like PyTorch or TensorFlow.
- Experience with cloud environments and data platforms such as Microsoft Azure, Azure Databricks, and Google Cloud Platform.
- Demonstrated understanding of statistical modeling and machine learning frameworks and tools.
- Experience with geospatial data and analytics (preferred).
- Intention to return to a degree program after internship completion (preferred).
- Graduating between December 2027 and June 2028 (preferred).
Benefits
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events for networking