Undergrad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizations (Summer 2027)
Amgen
- Location
- United States - Remote
- Employment
- Internship
- Work model
- Remote
- Level
- Intern
- H-1B history
- 137 approvals (FY2023)
- Posted
- Sep 11, 2026
Skills
About this role
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. Undergrad 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 insights Participate in the design of informative visualizations and dashboards for internal stakeholders Learn and apply statistical techniques including hypothesis testing, regression, and classification Collaborate with the team on implementing and monitoring ML models in production environments Contribute to the documentation of technical processes, models, and tools. Experiment with new tools and techniques in data engineering and ML operations (MLOps) Participate in agile ceremonies such as sprint planning and retrospectives to understand team workflow Program Eligibility Requirements Expected completion of one year of study from an accredited college or university prior to the internship commencing Expected continued enrollment in an accredited college or university following the internship program Student must be located in the United States for the duration of the internship program Must be available to work a full-time schedule. Must be available to accept and commit to future full-time employment by July 2028, if offered What We Expect of You We are all different, yet we all use our unique contributions to serve patients. The passionate and driven individual we seek exemplifies the following qualifications:
Basic Qualifications
Amgen requires that all individuals applying for an undergrad internship or a co-op assignment at Amgen must meet the following criteria: 18 years or older Currently enrolled in a full-time Bachelor’s Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent Preferred Qualifications Degree concentration(s) in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field Biotechnology, pharmaceutical or health care industry experience Intermediate knowledge of Microsoft Word, Excel and Power Point Strong interpersonal, project management, analytical and quantitative skills Demonstrated personal initiative, self-motivation,