Applied Science Intern

Local news, classifieds and event listings for New York make up the core of the site. We started in 2009 and have grown to about 140 people. We ship small changes daily rather than big quarterly releases.

Overview

This internship is for students with solid Python and statistics. Some deep learning exposure helps but is not required. Remote position. Most of the team is in New York City, but nobody is required to come in. We keep meetings to a minimum and work mostly async.

Day to day

• Track experiments in MLflow or Weights & Biases so results can be reproduced
• Label and review samples of training data to check quality
• Pull data from BigQuery or PostgreSQL with SQL queries
• Document assumptions, data sources and results in Confluence or Notion
• Present findings to the team in a short slide deck every few weeks
• Package a trained model behind a simple FastAPI endpoint for testing
• Write prompts and evaluation sets for LLM features, and score the outputs
• Run exploratory analysis and write up what you find in a Jupyter notebook

Requirements

• Based in the US for the duration of the internship
• Available 40 hours a week for the full internship
• Currently enrolled in a bachelor's or master's program, graduating 2028
• Familiar with Jupyter or Google Colab
• A GitHub repo or Kaggle notebook showing at least one ML project end to end
• Laptop with 8 GB RAM or more and a stable internet connection (no GPU needed, we provide cloud compute)
• Coursework or projects in machine learning, such as regression, classification and clustering

Bonus points

• Some work with LLM APIs, embeddings or retrieval
• Understanding of A/B testing
• Exposure to SageMaker, Vertex AI or Databricks notebooks

Duration: 12 weeks

Start date: May 2027

Stipend: $43.00-$57.50 per hour

What we offer

• Return offer opportunities
• Paid sick time
• Company laptop

Duration: 12 weeks. Start: May 2027.

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