GenAI/ML Intern — Hybrid (Madison/Boston) Build AI Solutions

American Family Insurance; Madison (WI); Hybrid; USD 34,000 - 72,000; Full time

Benefits offered by this job

401(k) plan

Pension plan

Paid holidays

Paid time off

Student loan repayment

Paid family leave

Job summary

American Family Insurance offers a 2027 Summer GenAI/ML Intern role based in Madison, WI, with hybrid work arrangements and collaboration across AI/ML projects. You will build and refine ML applications, assist with data prep, and participate in cross-functional projects within IT and analytics teams.

The program targets students pursuing CS/CE/Software/Data Science or related fields, with 24 credit hours completed; eligible for co-op requirements and potential involvement in new technology

Qualifications

• Demonstrated experience providing customer-driven solutions, support, or service.
• Must be currently seeking a bachelor's, master's, or doctoral degree and be enrolled on a full-time basis.
• Must have achieved 24 semester hours of academic credit before beginning the first work term.
• Preferred programs: Computer Science, Computer Engineering, Software Engineering, Data Science, AI, or related fields.

Responsibilities

• Develop ML applications to address business problems.
• Assist with data cleaning, preparation, and analysis.
• Participate in projects related to application support, software development, IT operations, system enhancements, and technology solutions.
• Present project results to management or department personnel.

Skills

Customer service experience

Analytical skills

Communication skills

Education

Candidate for Bachelor's/Master's/PhD

24 credit hours completed

Job description

American Family Insurance offers a 2027 Summer GenAI/ML Intern role based in Madison, WI, with hybrid work arrangements and collaboration across AI/ML projects. You will build and refine ML applications, assist with data prep, and participate in cross-functional projects within IT and analytics teams.

The program targets students pursuing CS/CE/Software/Data Science or related fields, with 24 credit hours completed; eligible for co-op requirements and potential involvement in new technology