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AI Engineer Intern – Machine Learning Operations (Summer 2026)

Exact Sciences
Madison, WI Intern
POSTED ON 12/11/2025 CLOSED ON 12/16/2025

What are the responsibilities and job description for the AI Engineer Intern – Machine Learning Operations (Summer 2026) position at Exact Sciences?

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The AI Engineer Intern – MLOps will focus on operationalizing machine learning workflows, including model deployment, monitoring, and pipeline automation.

Essential Duties

Include, but are not limited to, the following:

  • Design, build and maintain MLOps systems for AI/ML projects.
  • Support containerization and deployment of AI/ML workloads using Docker and Kubernetes.
  • Design and implement evaluation/testing frameworks for AI/ML workloads.
  • Assist in monitoring, logging, and maintaining AI/ML systems in production.
  • Apply strong analytical and problem-solving skills to improve system reliability.
  • Display effective teamwork and communication in collaborative settings.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company’s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

  • Master’s or PhD candidate in Computer Science, Data Engineering, or related field.
  • Strong proficiency in Python and cloud services (AWS, GCP, Azure).
  • Familiarity with Docker, Kubernetes, MLflow, and Databricks.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications

  • Experience with monitoring frameworks (Prometheus, Grafana).
  • Exposure to distributed computing or big data frameworks (Spark).
  • Experience with agentic frameworks (Pydantic AI, LangGraph, CrewAI)
  • Experience with RAG architectures (vector database, search)

Salary Range:

$35,000.00 - $56,000.00

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

Salary : $35,000 - $56,000

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