Job Description
📋 Description Design, build, and maintain benchmarks for document parsing and understanding Publish high-quality technical content weekly (blogs, reports, tutorials) Stay current with the document AI landscape: models, papers, techniques Run experiments and translate findings into publishable artifacts quickly Produce analyses that demonstrate our capabilities against alternatives Collaborate with the core ML team to surface improvements and capabilities 🎯 Requirements Experience in software engineering (ML engineering + research a bonus) Strong software fundamentals with production Python experience Understanding of modern ML techniques, especially CV/NLP/multimodal learning Demonstrated ability to write clearly, quickly, and authentically about technical topics Bias toward shipping - comfortable publishing at blog pace, not paper pace Ability to read, understand, and synthesize research papers rapidly 🎁 Benefits Shape the Narrative: influence how developers think about document understanding Technical Credibility: work with cutting-edge doc AI systems High Autonomy: publish quickly with minimal approvals Growth Opportunity: help build this function from the ground up as we scale
