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

Amgen • Thousand Oaks, CA

12d • $29 • Onsite

About The Position

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 pioneered 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

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.
• 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.

Nice To Haves

• 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, NumPy), visualization (e.g., matplotlib, seaborn), and machine learning (e.g., scikit-learn, XGBoost).
• Exposure to cloud platforms such as AWS, GCP, or Azure (coursework or personal projects).
• Basic understanding of SQL and experience querying data from relational or big data sources.
• Interest or coursework in NLP, time-series analysis, or statistical modeling.
• Familiarity with version control tools (e.g., Git) and collaborative coding practices.
• Awareness of tools like Databricks, Apache Spark, or Apache Airflow is a plus.
• Strong communication skills to optimally share technical findings with diverse audiences.
• Coursework in one or more of the following areas: Business Systems analysis, Lean, Agile (SCRUM) and other SDLC processes, Software Development, Database Modeling, Web Design and Development, IT Management, Management of Cloud based application, B2B Collaboration, Enterprise systems such as configuration and management of ERP, CRM systems.

Responsibilities

• 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.
• 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.

Benefits

• Competitive benefits
• Collaborative culture
• Build a network of colleagues that will endure and grow throughout your time with us and beyond.
• Bring your authentic self to the table and become the professional you’re inspired to be through accepting 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern