
Keeper
4 other open positions
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ABOUT KEEPER
We're a YC startup that combines great UX and heavy-lifting machine learning to deliver a whole new kind of tax filing experience. We have:
- 45,000 paying users (subscription price: $200 / year)
- 18K reviews on the App Store and Play Store (average: 4.8 stars)
- 20 employees (Series A)
ABOUT THE ROLE
We're looking for a machine learning intern to help us build user-friendly features powered by LLMs. Here are some examples of projects we’re currently working on:
- Improving our transformer-powered form parser for uploaded PDFs and images (e.g., 1099-NEC for freelance income, 1099-B for investments, etc)
- Leveling up our industry-leading AI tax assistant to be even more helpful
- Iterating on our core ML models: an NLP model to generate human-readable transaction descriptions, and a classification model to predict which transactions are tax-deductible
RESPONSIBILITIES
- Design and execute experiments using Python, Pandas, Weights & Biases, MySQL, and LLMs
- Train, test, and deploy state-of-the-art machine learning models in production
- Work with staff machine learning engineers to find technical solutions for complex business problems
- Communicate clearly across mediums and functions (experiment write-ups, code reviews, company-wide presentations)
LOCATION/DURATION
- We have a mix of remote and in-office employees. We are looking for someone who wants to work one or more days per week in our SF office (Financial District)
- This is a ten-week position. Expected start date is September 15, 2025.
INTERVIEW PROCESS
1. Round 1: A staff machine learning engineer will give an overview of the mission and business, and we'll review some potential projects to assess interest and fit.
2. Round 2: This is a live technical exercise. A staff machine learning engineer will lead you through a brief exercise designed to assess your coding and machine learning capabilities.
3. Call with CEO: This is a get-to-know-you call with our CEO (David). This is also an opportunity to ask any questions you have about the business.

Taxes made magical
Headquarters
San Francisco
Sector
Financial Technology and Services
Team Size
11-50
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