AI/ML Engineer at Keeper (W19)
$145K - $165K  •  0.24% - 0.32%
File complex taxes confidently
San Francisco, CA, US
Full-time
US citizen/visa only
1+ years
About Keeper

Keeper is AI-powered tax filing software that replicates the experience of going to an accountant. Just drop off your forms, answer a few questions, and let Keeper do the rest!

About the role
Skills: Python, Machine Learning

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:

  • 40K paying users ($199 to $399 per year)
  • 20K reviews averaging 4.8 stars on the App Store, Play Store, and TrustPilot
  • 20 full-time employees, $15M raised (Series A)

ABOUT THE ROLE

We're looking for an AI/ML engineer to build user-friendly features powered by cutting-edge tools. Here are some examples of projects we’re currently working on:

WHAT WE'RE LOOKING FOR

A successful applicant for this position will be:

  • Deeply experienced in modern ML and AI systems, including OCR, RAG, LLM fine-tuning, prompt engineering, and AI agents
  • Highly proficient in Python, with working knowledge of GCP infrastructure and modern ML tooling (e.g. Pandas, HuggingFace, Weights & Biases)
  • Intensely product-minded, with a focus on translating models into thoughtful, borderline magical features
  • Rapidly iterative, able to design smart tests, analyze outcomes, and refine features quickly
  • Ownership-oriented, taking end-to-end responsibility for code quality, feature reliability, and production issues when they arise
  • Collaborative and generous, willing and able to partner closely with cross-functional teammates
  • Passionate about the potential of AI to build great user experiences; experience in the tax domain is a plus but not required

LOCATION

We have a mix of remote and in-office employees. For this role, we are looking for someone who wants to work one or more days per week in our SF office (Financial District).

VISA REQUIREMENTS

Applicants must be a US citizen, green card holder, or H-1B visa holder. We do not support F1 OPT.

Interview Process
  • Screen with Tom (Staff ML Engineer + hiring manager) (20 min)
  • Live technical exercise with Tom (45 min)
  • Call with David (founder + CEO) (30 min)
  • Live cross-functional exercise (45 min)
  • References
  • Offer!

Other jobs at Keeper

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fulltimeSan Francisco, CA, USMachine learning$145K - $165K0.24% - 0.32%1+ years

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