AI Content Engineer

Join us and help shape the future of AI by defining the narrative around document understanding.

About

the Role We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.

Responsibilities Design, build, and maintain comprehensive benchmarks for document parsing and understanding Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials) Stay deeply current with the document AI landscape - new models, papers, competitors, techniques Run experiments and translate findings into publishable artifacts quickly Produce technical analyses that demonstrate our capabilities against alternatives Contribute to open-source examples, notebooks, and documentation Collaborate with the core ML team to surface improvements and capabilities worth highlighting Engage authentically with the developer community through technical content (not conferences/events) Required

Qualifications Experience in software engineering (ML engineering + research a

bonus) Strong software engineering fundamentals with production Python experience Understanding of modern ML techniques, particularly in computer vision, NLP, or 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 Scrappy and self-directed - can identify what's worth writing about and execute end-to-end Track record of high-velocity output in fast-paced environments Preferred