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

Amgen is a biotechnology company focused on serving patients with serious illnesses through innovative medicines and science-based research. The intern will assist with scalable data pipelines, machine learning model development and deployment, pharmaceutical data analysis, statistical modeling, visualizations, and technical documentation while collaborating in an agile team environment.

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.
• Participate in executive and social networking events, as well as community volunteer projects.