Undergrad Intern – Machine Learning Engineer – Technology, AI & Data

Summary

Amgen is a biotechnology company focused on developing and delivering medicines for serious illnesses. The Undergrad Intern will support the design, development, testing, and automation of data pipelines and machine learning workflows while analyzing pharmaceutical datasets, creating visualizations, and contributing to production ML operations and documentation.

Responsibilities

• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

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

Benefits

• Remote work arrangement
• 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.