Machine Learning Engineer (In-Person)

About Reducto

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale. We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale) through to enterprise (FAANG, top 3 trading firm). We’re raised over $100M from world‑class investors like A16z, Benchmark, and First Round Capital.

Roles and Responsibilities

• Training and deploying new state‑of‑the‑art models for parsing and interpreting unstructured data
• Experimenting with novel techniques to improve LLM accuracy
• Building data pipelines, evaluating model performance, and integrating models into the product
• Working directly with founders and customers to shape product direction and engineering strategy

Qualifications

Bonus Points

Location

This role is in person at our office in San Francisco, CA. We’re an early‑stage company, so the role requires working hard and moving quickly. Apply only if that excites you.

Benefits

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity / assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

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