Machine Learning Intern

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.