Machine Learning Intern

Contract research clients send us samples from trial sites all over the world. We're looking for a Machine Learning Intern. Remote ML internship focused on real company data, not Kaggle datasets. Most of the time goes into cleaning data and checking whether a model actually helps. You can work from home anywhere in the US. We have no office requirement. You can set your own hours around a daily morning check-in.

What you will do

• Write prompts and evaluation sets for LLM features, and score the outputs
• Engineer features from transaction, text or event data
• Package a trained model behind a simple FastAPI endpoint for testing
• Pull data from BigQuery or PostgreSQL with SQL queries
• Label and review samples of training data to check quality

About you

• Based in the US for the duration of the internship
• Available 40 hours a week for the full internship
• Clear written English, since most discussions happen in docs and Slack threads
• Basic statistics: distributions, hypothesis testing, sampling
• A GitHub repo or Kaggle notebook showing at least one ML project end to end

6 months, starting Mar 2027. Stipend: $40.50 - $45.00 per hour.

Perks: Mentorship from a dedicated buddy and manager, Home office setup stipend, Paid company holidays, Flexible hours.

Please include a short note on why this role interests you.

Duration: 6 months. Start: Mar 2027.

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