Intern supporting the development of a blog and online communication for a career consultancy. Engaging in content creation and collaboration with a consulting team in Düsseldorf.
About the role
- AI Content Engineer producing compelling technical content at high velocity for document AI. Engaging with the developer community through authentic technical writing and real experiments.
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)
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
- Offers Equity
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