Document AI Engineer & Benchmarking Content Creator

LlamaIndex, Inc.; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

LlamaIndex, Inc. in San Francisco seeks a highly technical ML engineer who can produce compelling, authentic technical content at high velocity.

You will design benchmarks for document parsing and publishing weekly technical content to demonstrate leadership in document understanding. You will write real code, run experiments, and translate findings into publishable content, driving awareness and adoption among developers building document-powered applications.

Qualifications

• Experience in software engineering, with ML engineering and research a bonus.
• Strong Python production experience.
• Understanding of modern ML techniques, particularly in 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.
• Scrappy and self-directed - can identify what's worth writing about and execute end-to-end.

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).

Skills

ML engineering

Python production

Reading papers

Fast output

Synthesis

Job description

LlamaIndex, Inc. in San Francisco seeks a highly technical ML engineer who can produce compelling, authentic technical content at high velocity.

You will design benchmarks for document parsing and publishing weekly technical content to demonstrate leadership in document understanding. You will write real code, run experiments, and translate findings into publishable content, driving awareness and adoption among developers building document-powered applications.