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)

Requirements

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
Experience with vision-language models, transformer architectures, or document AI specifically (preferred)
Existing portfolio of technical writing (blog posts, tutorials, technical documentation) (preferred)
Experience building evaluation frameworks or benchmarks (preferred)
Familiarity with OCR, layout analysis, table extraction, or document structure understanding (preferred)
Active presence in ML/AI technical communities (preferred)
Experience with LLM applications and RAG systems (preferred)

Benefits

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningcomputer visionnatural language processingmultimodal learningvision-language modelstransformer architecturesdocument AIOCRbenchmarking

Soft Skills

technical writingcommunicationself-directedsynthesis of researchcollaborationauthentic engagementhigh-velocity outputscrappinessability to publish quicklyexecution