Machine Learning Engineer

About the role

ABOUT REDUCTO

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.

We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.

Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.

We would love to meet you if you:

- Philosophy: You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.

- Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems

- Language/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs

- Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.

- Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.

THE CORE WORK WILL INCLUDE:

- Training and deploying new state of the art models for parsing and interpreting unstructured data

- Experimenting with novel techniques to improve LLM accuracy

- Build data pipelines, evaluate model performance, and integrate models into the product

- Working directly with the founders and customers to shape the product direction and engineering strategy

BONUS POINTS IF YOU:

- Have prior experience founding a company or building products at early stages

- Are ambitious and driven, and care a lot about doing great work with great people

- Keep up with the latest developments in ML/AI

This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

ABOUT REDUCTO

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing.