General Motors
2027 Summer Intern – Machine Learning Intern, Autonomous Vehicles: Software Validation (Master's)
Sunnyvale, California, United States of America · On-site · Internship · Posted Oct 5, 2026
- Education
- Currently pursuing a Master's Degree in Computer Science, Machine Learning, Engineering, or a related technical field.
About the job
Develop and execute machine-learning-based validation methods to evaluate autonomous vehicle software safety and performance in simulation and real-world testing.
What you'll do
- Enhance AI/ML validation frameworks and tools, and develop automated testing pipelines for simulated and real-world scenarios.
- Use ML and statistical methods to improve simulated performance metrics and identify AV edge cases and failure modes.
- Analyze large-scale driving data to identify validation gaps and improve testing coverage.
What they ask for
- Currently enrolled in a master’s degree program in Computer Science, Machine Learning, Engineering, or a related technical field.
- Graduating between December 2027 and August 2028.
- Coding experience in Python, SQL, C/C++, or other languages.
Nice to have
- Research or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision.
- Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.
Pay
$8,700 - $10,300 per month (base salary)
Tools
Python, SQL, C/C++, Hadoop/Hbase/Pig, Mapreduce/Sawzall/Bigtable
AI focus
Develop and apply ML methods and tools to validate AI systems and autonomous vehicle behavior, improve simulation metrics, detect edge cases and failure modes, and expand testing coverage.
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