AI Engineer Intern – Machine Learning Operations (Summer 2026)

Exact SciencesMadison, WI
20h$35,000 - $56,000

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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)

Responsibilities

  • 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.

Benefits

  • paid time off (including days for vacation, holidays, volunteering, and personal time)
  • paid leave for parents and caregivers
  • a retirement savings plan
  • wellness support
  • health benefits including medical, prescription drug, dental, and vision coverage
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