AI & Hardware Analytics Intern: Data-Driven Production

General Motors; Warren (MI); On-site; USD 90,000 - 97,000; Full time

Benefits offered by this job

Paid holidays

GM discount

Growth potential

Intern events

Job summary

General Motors is seeking an intern to support AI and data science initiatives within the Automated Driving Production Technology Team. You will analyze production and quality data, apply ML techniques, and develop data pipelines and dashboards for engineering and production teams.

The internship is on-site in Warren and Milford, MI, full-time, with a graduation window of December 2027 to June 2028. Eligible students will work 40 hours per week and receive a monthly compensation as part of the

Qualifications

• Pursuing a Bachelor's or Master's degree in Data Science, CS, Statistics, or related field.
• Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or ML.
• Able to work full-time, 40 hours per week.

Responsibilities

• Analyze production, quality, equipment, test, and operational data to identify trends and improvements.
• Apply AI techniques for predictive insights and process optimization.
• Develop data pipelines, models, and automated workflows for engineering and production teams.
• Create dashboards and visualizations to support technical decisions.
• Document methods, findings, and recommendations for cross-functional stakeholders.

Skills

Python

SQL

MATLAB

Data visualization

Statistics

Machine learning

Education

Bachelor's or Master's degree

Tools

pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Job description

General Motors is seeking an intern to support AI and data science initiatives within the Automated Driving Production Technology Team. You will analyze production and quality data, apply ML techniques, and develop data pipelines and dashboards for engineering and production teams.

The internship is on-site in Warren and Milford, MI, full-time, with a graduation window of December 2027 to June 2028. Eligible students will work 40 hours per week and receive a monthly compensation as part of the