ML Engineering Intern: Build Scalable Data Pipelines

BioSpace; Washington (District of Columbia); On-site; USD 34,000 - 45,000; Full time

Job summary

Amgen invites undergraduates to join as an Undergrad Intern Machine Learning Engineer in Summer 2027 within Technology, AI & Data. You will gain hands-on experience designing, developing, and testing scalable data pipelines for ingestion and transformation from multiple sources into data lakes and warehouses.

Responsibilities include collaborating with data engineers and scientists, assisting in model training and deployment, and helping create informative visualizations and dashboards for

Qualifications

• Coursework in Information Technology, Computer Science, Engineering, Business, or related field
• Biotechnology or health care industry experience
• Intermediate knowledge of Microsoft Word, Excel and Power Point
• Strong interpersonal, project management, analytical and quantitative skills
• Foundational experience in Python or R, including data libraries
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Basic understanding of SQL and data querying
• Familiarity with Git and SDLC processes
• Awareness of Databricks, Apache Spark, or Apache Airflow is a plus

Responsibilities

• Design, develop, and test scalable data pipelines for ingestion and transformation
• Collaborate with data engineers and scientists to clean, prepare, and analyze data
• Support the development and automation of model training, evaluation, and deployment pipelines
• Help explore pharmaceutical datasets for data-driven insights
• Create visualizations and dashboards for internal stakeholders
• Learn and apply statistical techniques and ML model monitoring
• Contribute to documentation of processes, models, and tools
• Experiment with new tools in data engineering and MLOps
• Participate in agile ceremonies and understand team workflow

Skills

Python

R

SQL

Data pipelines

ML basics

Git

Cloud concepts

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Apache Airflow

Job description

Amgen invites undergraduates to join as an Undergrad Intern Machine Learning Engineer in Summer 2027 within Technology, AI & Data. You will gain hands-on experience designing, developing, and testing scalable data pipelines for ingestion and transformation from multiple sources into data lakes and warehouses.

Responsibilities include collaborating with data engineers and scientists, assisting in model training and deployment, and helping create informative visualizations and dashboards for