Senior Applied Scientist, Search - NLP/GenAI
Core
Build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems to serve as the cognitive foundation for legal AI products like Westlaw and CoCounsel.
Role type
Senior Applied Scientist (NLP/GenAI)
Builds
Production-ready document understanding systems, LLM-based knowledge graphs, and synthetic data generation pipelines for legal and tax domains.
Domain
Legal technology, Tax, Professional Services
Deliverable
production ML models
Required skills
Semantic chunking, document classification, knowledge graph construction, LLM-based information extraction, synthetic data generation, knowledge distillation, SLM optimization, deep learning frameworks
Preferred skills
Publications at top venues (ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD), experience scaling teams in applied research
Technologies
Python, PyTorch, Hugging Face Transformers, DeepSpeed
Responsibilities
Design and deploy end-to-end AI solutions for document understanding; develop evaluation strategies leveraging human annotation and synthetic data; determine architectures for semantic chunking and multi-document reasoning; partner with engineering to ensure scalable software delivery; advance the field through published research and IP.
Seniority
Senior, hands-on IC with leadership potential