Machine Learning Intern (Fall)

Keeper

Date listed

2 months ago

ABOUT KEEPER

We're a YC startup that uses a combination of 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)
  • 17K 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 senior 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 16, 2024.

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