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
- 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
- Exceptional at Python or similar
- Well versed with both traditional computer vision and VLMs
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
- Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
- Debug, experiment, and iterate fast.
- Getting hands-on with the full development lifecycle, from ideation to shipping to users.
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.
- Prior experience founding a company or building products at early stages
- 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.
