Machine Learning Intern

Copperleaf Media operates consumer websites and apps used by tens of millions of people each month. We're looking for a Machine Learning Intern. Copperleaf Media is looking for a data science intern to help build and test prediction models for our Risk Modelling team. Our team is spread across 14 countries. Headquarters is in New York City. The internship is fully remote. Interns join our New York City team on daily calls and get a named mentor. Expect to work a schedule that overlaps with US Eastern business hours until about noon ET.

The work

• Pull data from BigQuery or PostgreSQL with SQL queries
• Label and review samples of training data to check quality
• Track experiments in MLflow or Weights & Biases so results can be reproduced
• Document assumptions, data sources and results in Confluence or Notion
• Train baseline models with scikit-learn and compare them against simple rules

About you

• Are able to join within 15 days
• Can commit full time, from home, for the whole internship
• Coursework or projects in machine learning, such as regression, classification and clustering
• Familiar with Jupyter or Google Colab
• Laptop with 8 GB RAM or more and a stable internet connection (no GPU needed, we provide cloud compute)

2 months, starting immediately. Stipend: $550 - $600 per month.

Perks: Informal dress code, Flexible work hours, Laptop provided for the internship, Internet allowance.

Please submit your CV in English.

Duration: 2 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Copperleaf Media LLC.