2027 summer intern ai ml engineer mapping phd

Job description

Description

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.)

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Locations:

Warren, Michigan

About the Team:

The Production Mapping organization 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.

About The Role:

In this role, you will help the Map Crowdsourcing and Enhancements team solve complex mapping problems using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will contribute across the development lifecycle—from exploring vehicle data and developing models or algorithms to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus may include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.

What You’ll Do:

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

Required Qualifications:

Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a PhD 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

Preferred Qualifications:

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.

Compensation:

The monthly salary range for this role is $12,300 per month

GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 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.

Total Rewards | 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. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

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. 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,