{"id":13110,"date":"2025-10-27T19:49:48","date_gmt":"2025-10-27T19:49:48","guid":{"rendered":"https:\/\/kick-start.us\/?post_type=job_listing&#038;p=13110"},"modified":"2025-10-27T19:49:48","modified_gmt":"2025-10-27T19:49:48","slug":"california-398-member-of-technical-staff-applied-ai-ml-engineer","status":"publish","type":"job_listing","link":"https:\/\/kick-start.us\/ko\/vaga\/california-398-member-of-technical-staff-applied-ai-ml-engineer\/","title":{"rendered":"Member of Technical Staff &#8211; Applied AI \/ ML Engineer"},"content":{"rendered":"<p>\uc804\uccb4 \uc9c1\ubb34 \uc124\uba85<br \/>Member of Technical Staff &#8211; Applied AI \/ ML Engineer<\/p>\n<p>Location:\u00a0San Francisco, CA (Union Square)<\/p>\n<p>Employment Type:\u00a0Full-time<\/p>\n<p>Work Arrangement:\u00a0On-site 5 days a week<\/p>\n<p>About the Role<\/p>\n<p>Our client is a\u00a0GenAI-native platform\u00a0that automates complex\u00a0tax document processing, serving top accounting firms and wealth management offices. The platform was recently acquired by\u00a0Thomson Reuters\u00a0and is operating as a fast-paced, high-growth startup within a larger structure.<\/p>\n<p>They are seeking an exceptional\u00a0Member of Technical Staff (MTS)\u00a0focused on\u00a0ML 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.<\/p>\n<p>What You\u2019ll Be Doing<\/p>\n<ul>\n<li>Build the core ML and product infrastructure powering products for tax professionals, utilizing foundational models.<\/li>\n<li>Rapidly improve core metrics by iterating on the dataset strategy, inference systems, and internal tax logic.<\/li>\n<li>Engage directly with accountants and tax professionals to understand needs and build a scalable, high-quality, and accurate product that drives adoption.<\/li>\n<li>Integrate the inference pipeline into an end-to-end product that transforms accounting workflows.<\/li>\n<li>Iterate on expert systems that encode the institutional knowledge of tax professionals into scalable software.<\/li>\n<\/ul>\n<p>\uc694\uad6c \uc0ac\ud56d<\/p>\n<ul>\n<li>4+ years of experience in Machine Learning Engineering, with a strong focus on creating end-user value (rather than just model fine-tuning).<\/li>\n<li>5+ years of experience working with commercial ML systems in a meaningful ownership role.<\/li>\n<li>Strong fundamental understanding of how to build, measure, and iterate on ML-powered enterprise or consumer products.<\/li>\n<li>Must be an exceptional builder.<\/li>\n<\/ul>\n<p>\ud61c\ud0dd<\/p>\n<ul>\n<li>Salary: $200K &#8211; 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