About the role#
As a Machine Learning Intern on the Software Validation team, you will contribute to the validation of autonomous vehicle behavior. You will help define best practices and design analyses to establish performance requirements for autonomous systems. Your work involves shaping evaluation methodologies for AI and ADAS features while architecting solutions that meet the needs of developers, systems engineers, and safety stakeholders.
What you'll do#
- Enhance AI and ML validation frameworks and tools for autonomous vehicle software.
- Design and implement automated testing pipelines for simulation and real-world validation using machine learning.
- Use machine learning to improve simulated performance metrics.
- Build tools using statistical methods to identify edge cases and failure modes.
- Analyze large-scale driving data to identify validation gaps and improve testing coverage.
What you'll need#
- Currently enrolled in a Master's degree program in Computer Science, Machine Learning, Engineering, or a related technical field.
- Expected graduation date between December 2027 and August 2028.
- Experience coding in Python, SQL, C, or C++.
- Intent to return to your degree program after the internship.
- Demonstrated software engineering experience through internships, work, or coding competitions.
- Familiarity with systems software, algorithms, or research in fields like deep learning, reinforcement learning, computer vision, or data mining.
- Experience with tools such as Hadoop, Hbase, Pig, Mapreduce, Sawzall, or Bigtable is a plus.
- A record of achievement through grants, fellowships, patents, or first-authored publications is preferred.
Location & details#
- Location: Sunnyvale, California.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time.
- Compensation: $8,700 to $10,300 per month.
About General Motors
General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.
How to get in at General Motors
Securing an internship at General Motors requires a proactive approach to the application timeline. Because early applicants are often reviewed before the volume of candidates becomes unmanageable, Intern Insider sends an instant alert the moment a role matching your target is published. This allows you to submit your materials among the first group of applicants. Reaching out to the right person can also change your outcome. Intern Insider surfaces the recruiters behind the company's roles, which lets you contact them directly to ask about the position or a potential referral. This direct connection often improves response rates compared to submitting an application into a general queue.
