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INTERNSHIP DETAILS

ML Ops Intern

CompanyAmerican Family Insurance

LocationMadison

Work ModeOn Site

PostedSeptember 25, 2026

Internship Information

Core Responsibilities

The intern will assist in enhancing MLOps frameworks, such as the Model Registry and Feature Store, while collaborating with data science teams on model deployment. They will also contribute to the maintenance, monitoring, and optimization of machine learning pipelines to support various business use cases.

Internship Type

full time

Salary Range

$25 - $30

Company Size

19111

Visa Sponsorship

Language

English

Working Hours

40 hours

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About The Company

For more than 90 years, American Family Insurance has built its reputation on sound principles. We strive to provide you industry-leading service, exceptional claims experience and products that build long-term relationships. This is accomplished by treating policyholders fairly in a helpful and caring way and making it easy and convenient to work with us. We know our customers like family. American Family Insurance thrives by conducting its business in accordance with the highest ethical standards and the law at all times. Integrity is part of our culture and always has been. The reputation we enjoy and trust-based relationships we have built with our customers are determined by the example set by management and the character and good judgment exercised at all levels of our organization. It’s a way of doing business that our customers have come to expect from us and a standard that we continue to live up to. 1-800MYAMFAM (1-800-692-6326)

About the Role

As a ML Ops Engineering intern, you will contribute to the enhancement of existing ML Ops frameworks, such as the Model Registry and Feature Store. Additionally, you will collaborate with data science teams to assist in the deployment of their machine learning models.

Hourly Rate range - $25 - $30

Primary Responsibilities

Develop an understanding of the organization's business environment, corporate culture, and structure to support project initiatives.
Contribute innovative ideas and creative solutions in response to evolving business and technical needs.
Assist in enhancing MLOps frameworks by developing and testing new features.
Support the maintenance, monitoring, and improvement of existing MLOps tools and platforms.
Help modify and optimize machine learning pipelines to support a variety of use cases.
Collaborate with team members on technical projects and assigned tasks.
Present project work, findings, and recommendations to management and team members.
Perform other duties and special projects as assigned.

Specialized Skills and Requirements

Currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
Basic to intermediate software development skills and a willingness to learn.
Experience with Python through coursework, academic projects, research, internships, or personal projects.
Familiarity with cloud platforms, CI/CD, DevOps, or MLOps concepts is a plus.
Strong analytical, problem-solving, communication, and teamwork skills.
Participation in academic, research, personal, or internship projects related to software engineering, automation, machine learning, data science, or MLOps is preferred.

Hybrid internship based in Madison, WI.Candidates must reside within 50 miles of the Madison office and be able to work onsite a minimum on 10days in the office.

Additional Information

To ensure a strong start, all employees participate in our New Employee Orientation during their first week.  This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth.  At times, sessions may be delivered virtually based on scheduling and availability. 
Offer to selected candidate will be made contingent on the results of applicable background checks
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

Key Skills

PythonMLOpsMachine LearningData ScienceSoftware EngineeringCI/CDDevOpsCloud PlatformsModel RegistryFeature StoreAnalytical SkillsProblem-solvingCommunicationTeamwork