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.
Requirements
- You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
- You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs
- Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
- 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.
- Keep up with the latest developments in ML/AI
Responsibilities
- 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
Other
- 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.
- 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
- 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.
