2027 Summer Intern – AI & Hardware Analytics, ADPT
$97k - $104k • Warren, Michigan, United States of America • Internship
Posted 4d ago
Job Location
Warren, Michigan, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
This internship focuses on supporting AI and hardware process efficiency initiatives through data analysis, process optimization, automation, and analytical tool development. The role involves analyzing production, quality, equipment, test, and operational data to identify trends and improvement opportunities. You will apply statistical analysis, machine learning, and anomaly detection techniques to support predictive insights and process optimization, and develop data pipelines, analytical models, and automated workflows. Additionally, you will evaluate process performance, support root-cause investigations, and measure the impact of process changes. The role also includes creating dashboards, reports, and visualizations to support technical and operational decisions, documenting methods, and presenting results to stakeholders.
Responsibilities
- Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities.
- Apply statistical analysis, machine learning, anomaly detection, and other AI techniques to support predictive insights and process optimization.
- Develop data pipelines, analytical models, and automated workflows for engineering and production teams.
- Evaluate process performance using metrics such as cycle time, throughput, first-pass yield, downtime, capacity utilization, and defect rates.
- Support root-cause investigations by connecting process conditions, equipment signals, test results, and quality outcomes.
- Measure the impact of process changes and recommend improvements that reduce manual effort, improve throughput, or increase quality.
- Create dashboards, reports, and visualizations that support technical and operational decisions.
- Document methods, assumptions, findings, and recommendations.
- Present results clearly to engineers, technical leaders, and cross-functional stakeholders.
Requirements
- Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
- Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning.
- Able to work full-time, 40 hours per week.
- Must be graduating between December 2027 and June 2028.
- Intent to return to degree program after the completion of the internship.
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