USD per year
Machine Learning Engineer
San Francisco Office
- $150K – $300K • Offers Equity
- FullTime • Engineering department
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've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Machine Learning Engineer to help us train and deploy the models critical to the performance of our core product.
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.
Reducto helps leading AI teams transform unstructured documents into structured, reliable data that can power production pipelines with industry-leading accuracy. It combines computer vision and vision-language models to produce accurate, LLM-ready results. The product offers flexible APIs for document parsing, splitting, extracting structured data, and editing fillable elements without templates. It supports multiple file types and languages and is enterprise-ready with security certifications like SOC2 and HIPAA compliance.
View Company Profile