LlamaParse is the world. Backed by Greylock and Norwest.
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.
What they're looking for
- 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
More about this role
Join us and help shape the future of AI by defining the narrative around document understanding.
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.
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...
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