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AI​/ML Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Keeper Tax Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

40K paying users ($199 to $399 per year)

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:

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

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, Hugging Face, 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.

Send cover letter & resume to  (please include notes on why you want to join Keeper & why you are a good fit for the role)

Screen with Tom (Staff ML Engineer + hiring manager) (20 min)

Live technical exercise with Tom (45 min)

Call with David (founder + CEO) (30 min)

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