AI/ML Engineer, Mapping

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General Motors

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10,001+ employeesDetroit, MichiganMotor Vehicle Manufacturing
Actively hiringPaidSummer 2027Motor Vehicle Manufacturing
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Best applied by Nov 14

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About the role#

As an AI/ML Engineer intern on the Map Crowdsourcing and Enhancements team, you will work on mapping solutions for AV/ADAS features like Super Cruise. You will solve complex problems using machine learning, advanced algorithms, and cloud computing. Your work covers the full development lifecycle, from exploring vehicle data to building scalable workflows and evaluating model performance.

What you'll do#

  • Build, deploy, and optimize models and algorithms in cloud-based compute environments.
  • Write scripts to manage data workflows using Python or PySpark.
  • Analyze large datasets to identify trends and patterns.
  • Use data visualization techniques to present complex information.
  • Create and maintain technical documentation.
  • Participate in training and skills development activities.

What you'll need#

  • Current enrollment in a full-time Masters program in computer science or a related field.
  • Expected graduation date between December 2027 and June 2028.
  • Python software skills and experience with ML libraries like PyTorch or TensorFlow.
  • Experience with cloud environments and data platforms, such as Microsoft Azure, Azure Databricks, or Google Cloud Platform.
  • Strong fundamentals in statistical modeling and machine learning frameworks.
  • Experience with geospatial data and analytics is preferred.
  • Intent to return to your degree program after the internship.

Location & details#

  • Location: Warren, Michigan.
  • Term: Summer 2027.
  • Schedule: Full-time, 40 hours per week.
  • Modality: On-site.
  • Note: This position does not provide immigration-related sponsorship.
Relevant fieldsComputer Science

About General Motors

General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.

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