Machine Learning Engineering Intern

About us:

Two developers, a designer and a support lead make up most of the company, so everyone touches the product. We keep recurring meetings to Tuesdays and Thursdays where we can.

The internship:

Moore Apps is looking for a data science intern to help build and test prediction models for our Risk Modelling team. Remote position. Most of the team is in New York City, but nobody is required to come in. Hours are flexible, with one short team call each morning.

Day to day:

• Package a trained model behind a simple FastAPI endpoint for testing
• Fine-tune small transformer models with Hugging Face for classification tasks
• Track experiments in MLflow or Weights & Biases so results can be reproduced
• Run exploratory analysis and write up what you find in a Jupyter notebook
• Engineer features from transaction, text or event data

What we're looking for:

• Available 40 hours a week for the full internship
• Based in the US for the duration of the internship
• Available at least 30 hours a week, with some flexibility during exam weeks
• Pursuing a degree in Computer Science, Statistics, Mathematics, Data Science or a related field, graduating in 2027 or 2028
• Basic statistics: distributions, hypothesis testing, sampling
• Strong Python, including pandas, NumPy and Matplotlib
• Clear written English, since most discussions happen in docs and Slack threads
• Coursework or projects in machine learning, such as regression, classification and clustering

Duration: 6 months

Start date: Mar 2027

Stipend: $40.00 to $43.50 per hour

Perks:

• Mentorship from a dedicated buddy and manager
• Flexible hours
• Home office setup stipend

We review applications on a rolling basis.

Duration: 6 months. Start: Mar 2027.

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