2027 Summer Intern, AI/ML Engineer, Mapping (Masters)
Quick Summary
Build, deploy, and optimize models and algorithms using cloud-based compute environments such as Azure Databricks and Google Cloud Platform.
Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Masters in computer science or a related field. Able to work fulltime, 40 hours per week.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
What We Offer
~1 min readWarren, Michigan
About the Role
~1 min read- Build, deploy, and optimize models and algorithms using cloud-based compute environments such as Azure Databricks and Google Cloud Platform.
- 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
Requirements
~1 min read- Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Masters 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
- Experience working with cloud environments and data platforms, such as Microsoft Azure, Azure Databricks, and Google Cloud Platform.
- Demonstratable fundamentals in statistical modeling and machine learning frameworks and tools
- Experience with geospatial data and analytics
- Intent to return to degree-program after the completion of the internship.
- Graduating between December 2027 and June 2028.
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.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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 1-800-865-7580. 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.
Location & Eligibility
About this job
- Pay per year
- ≈ $121,200 a year
- 42% below the $210,000 median for Machine Learning Engineer jobs on Jobera (869 salaries).
- Who can apply
- United States
- Posted
- 4 days ago
Listing Details
- Posted
- October 15, 2026
- First seen
- October 16, 2026
- Last seen
- October 18, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 18, 2026
Signal breakdown
Similar Machine Learning Engineer jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.