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LlamaIndex

AI Content Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco

Employer listed it 8 weeks ago · Added 4 days ago

Been open since 8 weeks ago. Long-running listings are sometimes left up after the role is filled.

Salary

$140,000–$220,000

Location

Hybrid · San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Software

Published by the employer

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "San Francisco, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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 Qualifications

Experience with vision-language models, transformer architectures, or document AI specifically

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

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at LlamaIndex, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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