ML Validation Intern - Autonomous Vehicles (Simulation)

General Motors Corporation; Sunnyvale (CA); Sur place; USD 129 000 - 152 000; Plein temps

Résumé du poste

General Motors Corporation in Sunnyvale, California, is seeking a 2027 Summer Intern – Machine Learning Intern in Autonomous Vehicles: Software Validation. The role focuses on validating AI/ML for autonomous vehicle behavior, building automated testing pipelines, and identifying edge cases in AV systems.

The intern will enhance validation frameworks, leverage ML to improve metrics, and work with a team to shape evaluation methodologies for AI and ADAS features.

Qualifications

• Currently enrolled and in the process of obtaining a PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
• Graduating between December 2027 and August 2028.
• Experience coding in Python, SQL, C/C++ or others.
• Interest in returning to degree-program after the internship.

Responsabilités

• Enhance 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.
• Analyze large scale driving data to identify validation gaps and improve testing coverage.

Connaissances

Python

SQL

C/C++

Machine Learning

Formation

PhD in Computer Science / ML / Engineering

Outils

Hadoop/HBase

Pig

MapReduce

Bigtable

Description du poste

General Motors Corporation in Sunnyvale, California, is seeking a 2027 Summer Intern – Machine Learning Intern in Autonomous Vehicles: Software Validation. The role focuses on validating AI/ML for autonomous vehicle behavior, building automated testing pipelines, and identifying edge cases in AV systems.

The intern will enhance validation frameworks, leverage ML to improve metrics, and work with a team to shape evaluation methodologies for AI and ADAS features.