General Motors is dedicated to advancing the development of autonomous vehicles through innovative technologies. As a Machine Learning Validation Engineer intern, you will be responsible for executing validation efforts for autonomous vehicle behavior and enhancing AI/ML validation frameworks and tools.
Responsibilities
- Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems
- Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML
- Use ML experience to enhance simulated performance metrics
- Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV
- Analyze large scale driving data to identify validation gaps and improve testing coverage
Skills
- Currently enrolled in a Master's program (with at least one year completed) and pursuing a degree in Computer Science, Machine Learning, Engineering, or a related technical field
- Experience coding in Python, SQL, C/C++ or others
- Graduating between December 2026 and August 2027
- Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision
- Intent to return to degree-program after the completion of the internship
- Demonstrated software engineer experience via an internship, work experience, coding competitions
- Experience in systems software or algorithms
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
- Demonstrated creativity and quick problem solving capabilities
- Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
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
Company Overview
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