2026 Summer Intern – Machine Learning Engineer, Map Enhancements (masters)
General Motors
Internship: Production Mapping Software Team
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Work Arrangement: Hybrid. This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.
Locations: Warren, Michigan; Austin, TX
About the Team: The Production Mapping Software Team plays a pivotal role in the software development of mapping solutions to support AV/ADAS at General Motors. This team is responsible for delivering integrated and tested software for various GM features, including Super Cruise and Adaptive Cruise Control.
About The Role: In this role, you will be asked to support team objectives by deploying machine learning models and algorithms using cloud compute resources and applying advanced data analytics to tackle complex problems for the Map Enhancements team. Areas of focus may include developing algorithms, writing software scripts, or performing analytics using vehicle data.
What You'll Do:
- Build and deploy models and algorithms using Databricks
- Develop scripts to manage data workflows using Python or PySpark
- Analyze large datasets to discover trends and patterns
- Present complex information using data visualization techniques
- Create and maintain technical documentation
- Complete training, learning, and skills development
Required Qualification: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master's degree in computer science or a related field. Able to work fulltime, 40 hours per week. Python software skills and experience with ML libraries such as PyTorch or TensorFlow. Demonstratable fundamentals in statistical modeling and machine learning frameworks and tools.
Preferred Qualifications: Experience working with cloud infrastructure and high-performance compute systems. Experience with geospatial data and analytics. Intent to return to degree-program after the completion of the internship. Graduating between December 2026 and June 2027.
Compensation: The monthly salary range for this role is $9,100 – $9,400 per month. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
What You'll Get from Us (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.
About GM: Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us: We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview: From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Non-Discrimination and Equal Employment Opportunities (U.S.): General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
Accommodations: General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.