ML Engineer Intern — Data Pipelines & Models (Summer 2027)

amgen; United States; On-site; USD 34,000 - 44,000; Full time

Job summary

Amgen is offering an undergraduate internship in Machine Learning Engineering within Technology, AI & Data. You will design, develop, and test scalable data pipelines feeding enterprise data lakes and warehouses, working with data engineers and scientists.

You will gain hands-on experience in model training, evaluation, deployment, and building informative visualizations. The program requires US location, full-time availability, and potential for future full-time employment after graduation.

Qualifications

• Undergraduate student enrolled full-time in a Bachelor's program with a 3.0 GPA or higher.
• Foundational experience in Python or R for data manipulation and analysis.
• Interest or coursework in ML, NLP, time-series analysis, or statistical modeling.

Responsibilities

• Assist design, development, and testing of scalable data pipelines.
• Clean, prepare, and analyze structured and unstructured data.
• Support model training, evaluation, and deployment pipelines.
• Explore pharmaceutical datasets for data-driven insights.
• Contribute to documentation of processes, models, and tools.
• Participate in agile ceremonies and team collaboration.

Skills

Python

R

ML concepts

Data visualization

NLP

Education

Bachelor's degree (CS/Engineering)

Tools

Git

Databricks

Apache Spark

Apache Airflow

AWS

GCP

Azure

SQL

Job description

Amgen is offering an undergraduate internship in Machine Learning Engineering within Technology, AI & Data. You will design, develop, and test scalable data pipelines feeding enterprise data lakes and warehouses, working with data engineers and scientists.

You will gain hands-on experience in model training, evaluation, deployment, and building informative visualizations. The program requires US location, full-time availability, and potential for future full-time employment after graduation.