Undergrad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027)

Amgen is a biotechnology company focused on developing and delivering innovative medicines for serious illnesses. The Undergrad Intern – Machine Learning Engineer will support scalable data pipelines, machine learning model development and deployment, pharmaceutical data analysis, visualization, and MLOps activities while gaining hands-on professional experience.

What you'll do:

• 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

What they're looking for:

• 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
• 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
• Candidates must be authorized to work in the U.S. for the duration of this program
• 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

Benefits:

• Build a network of colleagues that will endure and grow throughout your time with us and beyond.
• A culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
• Participate in executive and social networking events, as well as community volunteer projects.