AI Content Engineer

📋 Description

• Design, build, and maintain benchmarks for document parsing and understanding
• Publish high-quality technical content weekly (blogs, reports, tutorials)
• Stay current with the document AI landscape: models, papers, techniques
• Run experiments and translate findings into publishable artifacts quickly
• Produce analyses that demonstrate our capabilities against alternatives
• Collaborate with the core ML team to surface improvements and capabilities

🎯 Requirements

• Experience in software engineering (ML engineering + research a bonus)
• Strong software fundamentals with production Python experience
• Understanding of modern ML techniques, especially 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

🎁 Benefits

• Shape the Narrative: influence how developers think about document understanding
• Technical Credibility: work with cutting-edge doc AI systems
• High Autonomy: publish quickly with minimal approvals
• Growth Opportunity: help build this function from the ground up as we scale