Lead Applied Scientist, Document Understanding (AI)

Location: Hybrid, based in Zug, Switzerland or London, UK. Work from anywhere is available for up to 8 weeks per year as part of the benefits program.

Company

hirify.global provides trusted content, software, and insights for professionals and institutions across legal, tax, accounting, compliance, government, and media.

What you will do

• Design and deploy semantic chunking systems for lengthy, non-uniformly structured legal, tax, and accounting documents.
• Build enrichment, classification, information extraction, and tabular data understanding pipelines for domain-specific content.
• Develop knowledge graph construction systems that extract, normalize, connect, and enrich entities, concepts, citations, and relationships.
• Create document intelligence capabilities supporting search, retrieval, RAG, and agentic AI workflows.
• Design evaluation frameworks using expert annotations, synthetic datasets, and production metrics.
• Lead architecture and technical strategy decisions, partner with engineering teams on scalable production systems, and mentor applied scientists and machine learning practitioners.

Requirements

• PhD in Computer Science, AI, NLP, Machine Learning, Information Retrieval, or a related field, with demonstrable post-degree industry experience developing and deploying document understanding systems at scale.
• Experience building production document understanding systems beyond basic OCR or document parsing, with measurable business impact.
• Hands-on depth across document analysis, information extraction, classification, knowledge representation, evaluation, and production deployment.
• Experience taking advanced NLP and AI capabilities from research through production and transforming complex unstructured content into structured knowledge for search, retrieval, reasoning, and intelligent workflows.

Nice to have

• Collaborative mindset with an ability to mentor and measure success by what ships and performs in production.
• Understanding of how to transform large collections of unstructured documents into structured knowledge assets and build knowledge graphs from real-world content.
• Experience using knowledge graphs to improve retrieval, reasoning, and AI workflows and extracting insights from natural language and complex tabular content.

Culture & Benefits

• Flexible hybrid work model for office-based roles with digitally and physically connected collaboration.
• Flexible workplace policies supporting personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Career development programs, continuous learning, skills development, and tuition reimbursement.
• Flexible vacation, two company-wide Mental Health Days, Headspace access, retirement savings, incentive programs, and wellbeing resources.
• Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
• Inclusive culture focused on customer impact, learning, collaboration, and work-life balance.