Machine Learning Validation Engineer for Autonomous Vehicle Software Validation Team. Enhancing AI/ML frameworks and tools, automating testing pipelines while collaborating with a team of engineers.
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.
Requirements
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
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