Grad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizat

Career Category College Job Job Description 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. Grad Intern – Machine Learning Engineer – Amgen ’s Technology & Medical Organizations (Summer 2027)

What You Will Do

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, prepare, and analyze structured and unstructured data Support the development and automation of model training, evaluation, and deployment pipelines Help explore and analyze pharmaceutical commercial datasets for data-driven insight