Applied Science Intern

About us:

Contract research clients send us samples from trial sites all over the world. Most of the team works in process development, analytical chemistry and quality control. Lab coats, safety glasses and closed-toe shoes in all lab areas.

About the role:

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. Fully remote. You can work from anywhere in the US. Few meetings, lots of written updates.

Responsibilities:

Pull data from BigQuery or PostgreSQL with SQL queries. Engineer features from transaction, text or event data. Package a trained model behind a simple FastAPI endpoint for testing. Track experiments in MLflow or Weights & Biases so results can be reproduced. Train baseline models with scikit-learn and compare them against simple rules. Clean and prepare datasets in Python using pandas and NumPy.

What we're looking for:

Currently enrolled in a bachelor's or master's program, graduating 2026 or 2027. Authorized to work in the US. CPT and OPT candidates are welcome to apply. Laptop with 8 GB RAM or more and a stable internet connection (no GPU needed, we provide cloud compute). Clear written English, since most discussions happen in docs and Slack threads. Coursework or projects in machine learning, such as regression, classification and clustering.

What you'll learn:

You will take one model from raw data to an evaluated prototype. Certificate and a recommendation letter, plus a pre-placement interview for strong interns. Working with messy production data and real business constraints.

Duration: 6 months

Start date: Immediately

Stipend: $40.00 to $52.00 per hour

Perks:

Company laptop. Mentorship from a dedicated buddy and manager. Paid company holidays. Flexible hours. Paid sick time.

Interview process: a phone call, a meeting with the hiring manager, and a final conversation with the team.

Duration: 6 months. Start: Immediately.

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