Lead Applied Scientist, Search - NLP/GenAI
Core
Building state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems to power search and agentic reasoning in legal AI products.
Role type
Lead Applied Scientist (NLP/GenAI)
Builds
Production-ready document understanding systems, LLM-based knowledge graphs, and synthetic data pipelines for legal and tax domains.
Domain
Legal technology, NLP, Generative AI
Deliverable
production ML models
Required skills
Document understanding, semantic chunking, knowledge graph construction, LLM-based information extraction, knowledge distillation, synthetic data generation, deep learning frameworks, Python programming, technical leadership
Preferred skills
Publications at top NLP venues (ACL, EMNLP, NeurIPS), experience with hierarchical taxonomies and multi-label classification
Technologies
PyTorch, Hugging Face Transformers, DeepSpeed
Responsibilities
Lead design and deployment of end-to-end AI solutions for document understanding; direct execution of large-scale projects including semantic chunking and knowledge graph pipelines; serve as technical lead accountable for research deliverables; partner with engineering for scalable software delivery; design evaluation strategies and maintain technical expertise through research and IP contributions; determine architectures and make critical technical decisions on extraction methods; mentor team members and influence technical direction.
Seniority
Senior, hands-on IC with leadership responsibilities