Location: San Francisco, CA (Union Square)
Employment Type: Full-time
Work Arrangement: On-site 5 days a week
About The Role
Our client is a
GenAI-native platform that automates complex
tax document processing, serving top accounting firms and wealth management offices. The platform was recently acquired by
Thomson Reuters and is operating as a fast-paced, high-growth startup within a larger structure.
They are seeking an exceptional
Member of Technical Staff (MTS) focused on
ML Product. This is a high-ownership role crucial for scaling their platform to millions of documents, requiring strong fundamental understanding of how to build, measure, and iterate on commercial ML systems for the enterprise.
What You'll Be Doing
- Build the core ML and product infrastructure powering products for tax professionals, utilizing foundational models
- Rapidly improve core metrics by iterating on the dataset strategy, inference systems, and internal tax logic
- Engage directly with accountants and tax professionals to understand needs and build a scalable, high-quality, and accurate product that drives adoption
- Integrate the inference pipeline into an end-to-end product that transforms accounting workflows
- Iterate on expert systems that encode the institutional knowledge of tax professionals into scalable software
Requirements
- 4+ years of experience in Machine Learning Engineering, with a strong focus on creating end-user value (rather than just model fine-tuning)
- 5+ years of experience working with commercial ML systems in a meaningful ownership role
- Strong fundamental understanding of how to build, measure, and iterate on ML-powered enterprise or consumer products
- Must be an exceptional builder
Benefits
- Salary: $200K - $325K
- Equity: Stock options also included
- Visa Sponsorship: Available
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
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