Summer ML Engineer Intern: Data, MLOps & Biotech

Amgen

Washington (District of Columbia)

On-site

USD 49,000 - 57,000

Full time

6 days ago
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Job summary

Amgen invites students to join as a Grad Intern – Machine Learning Engineer in Technology, AI & Data for Summer 2027. The program emphasizes hands-on ML, data preparation, and dashboard development within pharma datasets. Eligible candidates include those pursuing advanced degrees in IT, CS, Engineering, or related fields, with strong Python/ML foundations and cloud exposure.

Base pay range in the U.S. is $35.34 – $41.20 per hour.

Qualifications

  • Bachelor's degree completed; enrolled in relevant internship program or completed first year in MBA/MS/PhD program.
  • Strong Python/R skills with data manipulation and ML basics.
  • Experience with SQL and data visualization tools.

Responsibilities

  • Clean, prepare, and analyze structured and unstructured data with data engineers/scientists.
  • Support model training, evaluation, and deployment pipelines.
  • Explore pharmaceutical datasets for data-driven insights.
  • Design visualizations and dashboards for internal stakeholders.
  • Apply statistics including hypothesis testing, regression, and classification.
  • Collaborate to implement and monitor ML models in production.
  • Document technical processes, models, and tools.
  • Experiment with data engineering and MLOps tools.
  • Participate in agile ceremonies and team workflows.

Skills

Python
R
SQL
Pandas
NumPy
Machine Learning
Data Visualization
Git
AWS
SCRUM/Agile

Education

Bachelor's degree
MBA/MS/PhD internship programs

Tools

Databricks
Apache Spark
Apache Airflow

Job description

Amgen invites students to join as a Grad Intern – Machine Learning Engineer in Technology, AI & Data for Summer 2027. The program emphasizes hands-on ML, data preparation, and dashboard development within pharma datasets. Eligible candidates include those pursuing advanced degrees in IT, CS, Engineering, or related fields, with strong Python/ML foundations and cloud exposure.

Base pay range in the U.S. is $35.34 – $41.20 per hour.

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