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Undergrad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizations; Summer

Job in Thousand Oaks, Ventura County, California, 91362, USA
Listing for: Amgen Inc. (IR)
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Engineering, Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 24 - 34 USD Hourly USD 24.00 34.00 HOUR
Job Description & How to Apply Below

Career Category College Job Job Description

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.

  • 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:
  • 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
  • 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, flexibility, adaptability and resourcefulness
  • Ability to operate independently, across functional lines, and with both internal and external customers
  • Foundational experience in Python or R, including use of libraries for data manipulation (e.g., pandas, Num…
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