ML Validation Intern: Autonomous Vehicles & Simulation

General Motors

Sunnyvale (CA)

On-site

USD 97,000 - 115,000

Full time

35 hours ago
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Benefits offered by this job

Paid holidays
Vehicle discount program
Career growth opportunities
Intern networking events

Job summary

General Motors in Sunnyvale, CA, is offering a Machine Learning Validation Engineer internship within the Software Validation team of the AV organization. You will contribute to validation for autonomous vehicle behavior, crafting guidance on performance and designing advanced analyses.

The role emphasizes developing ML-driven validation, building automated pipelines, and collaborating with engineers to set testing standards, with a path toward impactful results and learning from senior mentors.

Qualifications

  • Currently enrolled in a Master’s program 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.

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 statistics to identify edge cases and failure modes in AV.

Skills

Python
SQL
C/C++

Education

Master's degree in CS/ML/Engineering or related field

Tools

Hadoop/Hbase/Pig
Mapreduce/Sawzall/Bigtable

Job description

General Motors in Sunnyvale, CA, is offering a Machine Learning Validation Engineer internship within the Software Validation team of the AV organization. You will contribute to validation for autonomous vehicle behavior, crafting guidance on performance and designing advanced analyses.

The role emphasizes developing ML-driven validation, building automated pipelines, and collaborating with engineers to set testing standards, with a path toward impactful results and learning from senior mentors.

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