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.
🚀 Y Combinator Company Info
Y Combinator Batch: W19
Team Size: 21 employees
Industry: Financial Technology and Services -> Consumer Finance
Company Description: File complex taxes confidently
💰 Compensation
Salary Range: $145,000 - $165,000
Equity Range: 0.24% - 0.32%
📋 Job Details
Job Type: Full-time
Experience Level: 1+ years
Engineering Type: Machine learning
🛠️ Required Skills
Python Machine Learning
🎯 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!