Undergrad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizations (Summer 2027)

United States - Remote JOB ID: R-255709 LOCATION: United States - Remote WORK LOCATION TYPE: Remote DATE POSTED: Sep. 11, 2026 CATEGORY: College Job SALARY RANGE: - Join Amgen’s Mission of Serving Patients --------------------------------------------

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Undergrad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizations (Summer 2027)

What You Will Do

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Let’s do this. Let’s change the world. During this internship, you will acquire the valuable hands-on skills and foundational experience needed to become a professional in your chosen field.

This role requires you to assist in the design, development, and testing of scalable data pipelines for data ingestion and transformation from multiple data sources into enterprise data lakes and warehouses. Responsibilities may include:

* Work closely with expert data engineers and scientists to clean