ML Engineer Intern: Data Pipelines & Modeling

Initial Therapeutics, Inc.; Washington (District of Columbia); On-site; USD 70,258,000 - 95,123,000; Full time

Job summary

Amgen is seeking an Undergrad Intern Machine Learning Engineer to help design and build scalable data pipelines for data ingestion and transformation into enterprise data lakes and warehouses. You will work with data engineers and scientists to clean, analyze, and model data, and contribute to dashboards for internal stakeholders.

The role emphasizes collaboration, agile practices, and hands-on experience with Python, SQL, and ML tooling.

Qualifications

• Enrolled in a full-time Bachelor’s degree program with a 3.0+ GPA.
• Located in the United States for the duration of the internship.
• Available to work full-time and to commit to future full-time employment by July 2028.

Responsibilities

• Assist design, development, and testing of scalable data pipelines for ingestion and transformation.
• Collaborate with data engineers and scientists to clean and analyze structured and unstructured data.
• Support model training, evaluation, and deployment pipelines.
• Help analyze pharma datasets for data-driven insights.
• Contribute to visualization dashboards for internal stakeholders.
• Participate in agile ceremonies and document technical processes.

Skills

Python

R

SQL

Data analysis

Pandas

NumPy

ML pipelines

Git

Communication

Teamwork

ML

AWS

NLP

Time-series

Education

Bachelor's degree in progress

Tools

Databricks

Apache Spark

Apache Airflow

Pandas

NumPy

Job description

Amgen is seeking an Undergrad Intern Machine Learning Engineer to help design and build scalable data pipelines for data ingestion and transformation into enterprise data lakes and warehouses. You will work with data engineers and scientists to clean, analyze, and model data, and contribute to dashboards for internal stakeholders.

The role emphasizes collaboration, agile practices, and hands-on experience with Python, SQL, and ML tooling.