2026 Summer Intern - Software Engineer, Machine Learning Validation (PhD)
General Motors is a leading automotive company focused on advancing the development of autonomous vehicles. The role of Machine Learning Validation Engineer involves executing validation efforts for autonomous vehicle behavior, enhancing validation frameworks, and designing automated testing pipelines.
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) or in the process of obtaining a PhD 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, or PhD papers
- 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