Lead Applied Scientist, Search - NLP/GenAI

Location: Hybrid, based in Zug, Switzerland or London, UK

Company

hirify.global provides trusted content, software, and data-driven solutions for legal, tax, accounting, compliance, government, and media professionals.

What you will do

• Lead the design, development, testing, and deployment of end-to-end AI solutions for legal document understanding.
• Build semantic chunking, document enrichment, hierarchical classification, knowledge graph construction, and synthetic data generation systems.
• Design evaluation strategies using expert annotation and synthetic data, balancing model quality, latency, and scalability.
• Lead knowledge distillation and model compression initiatives to create production-ready small language models.
• Set technical direction for document classification, LLM-based knowledge extraction, and multi-document reasoning architectures.
• Partner with Engineering and Product teams, mentor ML/NLP specialists, and shape technical roadmaps across multiple product lines.

Requirements

• PhD in Computer Science, AI, NLP, or a related field, or a Master's degree with equivalent research or industry experience.
• Hands-on experience building and deploying document understanding, information extraction, or knowledge graph systems using deep learning, LLMs, and NLP.
• Strong programming skills in Python and experience with frameworks and tools such as PyTorch, Hugging Face Transformers, and DeepSpeed.
• Expertise in document layout analysis, semantic chunking, hierarchical and imbalanced multi-label classification, entity linking, relation extraction, and citation parsing.
• Experience with LLM-based extraction, few-shot and multi-task learning, post-training, knowledge distillation, synthetic data generation, annotation workflows, and evaluation frameworks.
• Relevant research publications and demonstrated technical leadership, mentoring, and stakeholder influence.

Culture & Benefits

• Hybrid work environment with digitally and physically connected collaboration.
• Flexible work policies, including work from anywhere for up to 8 weeks per year.
• Flexible vacation, two company-wide mental health days, retirement savings, tuition reimbursement, and employee incentive programs.
• Career development through continuous learning, skills-first development, and Grow My Way programming.
• Health and wellbeing resources, including Headspace access and support for physical, mental, and financial wellbeing.
• Two paid volunteer days annually and opportunities to participate in pro-bono consulting and ESG initiatives.