ML Validation Engineer Intern — Autonomous Vehicles

General Motors LLC; Sunnyvale (CA); On-site; USD 97,000 - 115,000; Full time

Benefits offered by this job

Paid holidays

Vehicle discount

Growth opportunities

Intern events

Job summary

General Motors LLC is seeking a Machine Learning Validation Engineer within the Autonomous Vehicle program to advance validation methodologies for AI and ADAS features. You will design, implement, and refine validation strategies, targeting safety and performance through state-of-the-art simulators and real-world testing.

The role emphasizes collaboration across software validation, systems engineering, and safety stakeholders, with opportunities to shape evaluation methods for AI systems in

Qualifications

• Enrolled in a Master's degree in CS, ML, Engineering, or related field.
• Graduating between Dec 2027 and Aug 2028.
• Experience coding in Python, SQL, C/C++ or similar languages.

Responsibilities

• Enhance AI/ML validation frameworks and tools for AV software systems.
• Design and implement automated testing pipelines for sim-based and real-world validation using ML.
• Use ML to enhance simulated performance metrics and validation results.
• Build tools leveraging ML and statistics to identify edge cases and failure modes in AV.
• Analyze large-scale driving data to identify validation gaps and improve testing coverage.

Skills

Python

SQL

C/C++

Education

MS in CS/Engineering/related

Tools

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Job description

General Motors LLC is seeking a Machine Learning Validation Engineer within the Autonomous Vehicle program to advance validation methodologies for AI and ADAS features. You will design, implement, and refine validation strategies, targeting safety and performance through state-of-the-art simulators and real-world testing.

The role emphasizes collaboration across software validation, systems engineering, and safety stakeholders, with opportunities to shape evaluation methods for AI systems in