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

Job description

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Undergrad Intern Machine Learning Engineer

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

What You Will Do

Lets do this. Lets 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:

18 years or older

Currently enrolled in a full-time Bachelors 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, 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

What You Can Expect of Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

The base pay range for this opportunity in the U.S. is $28.87 per hour.

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 youre 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.

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In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Candidates must be authorized to work in the U.S. for the duration of this program. Sponsorship for future FTE roles is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Worksite address

washington, DC, 20022, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.