19th May, 2025
Location: San Francisco, CA (On-site)
Salary: Up to $240k + equity
Industry: AI / Data
What You’ll Drive
As a Machine Learning Engineer, you’ll join a mission-driven, hyper-growth AI startup that’s building the industry’s most accurate platform for parsing and extracting data from complex documents and spreadsheets.
Backed by $33M from top-tier investors - including Benchmark, First Round, BoxGroup, and Y Combinator - you’ll develop and deploy cutting-edge ML models that power pipelines for hundreds of companies, from startups to Fortune 10 enterprises. You’ll work closely with a small team of top-tier engineers and customers to push the boundaries of document AI and deliver exceptional accuracy at scale.
What You’ll Focus On
- Design, train, fine-tune, and deploy machine learning and vision-language models specialized in document AI and OCR
- Develop and optimize ML pipelines to ensure high accuracy, scalability, and reliability in production environments
- Build internal tools and evaluation frameworks to analyze model performance and address failure cases
- Collaborate closely with founders, engineers, and customers to shape product direction and engineering strategy
- Rapidly iterate and ship improvements based on quantitative metrics and real-world feedback
Who You Are - 2+ years of experience in machine learning engineering, with strong software engineering skills and production deployment experience
- Proficient in Python and familiar with modern large language models (LLMs) and vision-language models (VLMs)
- Experienced or highly interested in computer vision, OCR, and document processing applications
- Comfortable bridging ML research and software engineering to deliver high-quality, reliable systems
- High agency, quality-driven, hands-on, and passionate about iterating based on customer feedback
- Background at companies with strong ML talent, or a degree from a top CS program, is a plus
Tech Stack: Python, Computer Vision Models, Vision Language Models, LLMs, API Integration
Why You’ll Thrive Here - Backed by $33M from leading investors, rapidly growing with 0→7 figures ARR in 6 months and 300M+ pages parsed
- Powering ingestion pipelines for hundreds of companies, including startups and Fortune 10 enterprises
- Join a small, passionate team with direct impact and ownership as an early hire
- No silos: collaborate across product, engineering, and customer success-everyone is involved from roadmap to user feedback
- Benefits include health & wellness stipend, monthly Uber stipend, unlimited PTO, and Doordash stipend
- Build the definitive platform for leveraging unstructured data and shaping the future of AI-powered document processing
- Work on-site in San Francisco with a team that values rapid iteration, customer obsession, and shipping high-quality solutions
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