Lead Applied Scientist, NLP and Generative AI

About

Elevate document understanding with Thomson Reuters as a Lead Applied Scientist specializing in NLP and Generative AI. Drive impactful solutions in a flexible and dynamic work environment.

This influential role focuses on developing and deploying document understanding systems that enhance Westlaw, PracticalLaw, and CoCounsel. You will leverage your PhD in AI, NLP, or Computer Science along with 8+ years of industry experience to deliver measurable results. Your expertise in semantic chunking, knowledge graphs, and model evaluation will be crucial in influencing multiple product teams.

Responsibilities

• Design and implement semantic chunking models for legal documents
• Build document enrichment systems utilizing specialized taxonomies
• Develop knowledge graph pipelines connecting entities and citations
• Lead knowledge distillation for latency-efficient SLMs
• Create comprehensive frameworks for evaluation using expert input

Requirements

• PhD in Computer Science, AI, NLP, or relevant field
• 8+ years of experience in document understanding systems
• Proven track record of publications at top AI conferences
• Skilled in Python, PyTorch, and Hugging Face Transformers
• Experience with synthetic data generation and evaluation frameworks

Contribute your expertise in NLP to advance Thomson Reuters' document understanding systems, delivering real-world impact. #J-18808-Ljbffr