Machine Learning Engineer

Reducto is revolutionizing enterprise data processing by transforming complex documents like PDFs into LLM-ready inputs. As a Machine Learning Engineer, you'll join a dynamic team processing tens of millions of pages monthly for clients ranging from startups to Fortune 10 enterprises.

The role demands expertise in both traditional computer vision and VLMs, with a focus on training and deploying state-of-the-art models for unstructured data parsing. You'll be working directly with founders and customers, shaping product direction while building robust data pipelines and improving LLM accuracy.

The ideal candidate brings 2-5 years of ML production experience, exceptional Python skills, and a perfectionist's approach to quality. You'll be part of the founding team, working on core API and on-prem deployments, requiring both technical excellence and business acumen.

Reducto's mission addresses a critical challenge: nearly 80% of enterprise data exists in unstructured formats, creating significant workflow bottlenecks. The company's innovative approach combines vision models, LLMs, and specialized heuristics to accurately extract and process information from complex documents.

This in-person role in San Francisco offers competitive compensation ($150K-$240K plus equity) and the opportunity to work on cutting-edge AI technology. You'll be instrumental in building the ingestion layer that connects human data with LLMs, making a significant impact in how enterprises handle document processing.

The fast-paced startup environment requires someone who thrives on challenges, moves quickly, and maintains high standards. If you're passionate about AI, love solving complex problems, and want to be part of a transformative solution in enterprise data processing, this role offers an exceptional opportunity to shape the future of document intelligence.