Lead Applied Scientist, NLP/GenAI
Thomson Reuters(1 month ago)
About this role
A Lead Applied Scientist, Document Understanding at Thomson Reuters leads the development of foundational document understanding capabilities that power legal AI products. The role combines research-quality innovation with production delivery across semantic chunking, document enrichment, and knowledge graph construction for legal, tax, and accounting content. Successful candidates will shape how legal professionals search, analyze, and reason over complex documents at scale.
Required Skills
- Document Understanding
- Semantic Chunking
- Knowledge Extraction
- Knowledge Graphs
- LLMs
- NLP
- Deep Learning
- Model Distillation
- Python
- PyTorch
+2 more
Qualifications
- PhD in Computer Science, AI, or NLP
- Master's Degree (or equivalent research/industry experience)
About Thomson Reuters
tr.comThomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.
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