Machine Learning Intern

About the internship

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. Your day-to-day work will include:

1. Clean and prepare datasets in Python using pandas and NumPy.

2. Label and review samples of training data to check quality.

3. Document assumptions, data sources and results in Confluence or Notion

4. Write prompts and evaluation sets for LLM features, and score the outputs.

5. Pull data from BigQuery or PostgreSQL with SQL queries.

6. Present findings to the team in a short slide deck every few weeks

7. Track experiments in MLflow or Weights & Biases so results can be reproduced

Skill(s) required: Pandas, NumPy, SQL

Who can apply

1. Available for at least 30 hours a week, work from home

2. Own a laptop and have stable internet at home, ideally with a UPS backup

Stipend: $350-$400/month

Duration: 4 months | Start date: Immediately

Perks: Job offer on successful completion, Performance bonus, 5 days a week, Certificate, Flexible work hours, Free access to paid learning courses

Number of openings: 2

About Hofmann Commerce

We run a marketplace with over 300,000 active sellers and fulfillment centres in four regions. Our engineering, trust and safety, and customer support teams work across offices in Cologne and several other countries. Core hours are 10 to 3, and the rest of the day is flexible.

Duration: 4 months. Start: Immediately.

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