Applied Scientist, NLP/GenAI
Thomson Reuters(1 month ago)
About this role
An Applied Scientist on Thomson Reuters' legal AI platform will develop foundational document understanding and knowledge-graph systems that power products like Westlaw, Practical Law, and CoCounsel. The role focuses on advancing semantic chunking, document enrichment, and LLM-based extraction across authoritative legal, tax, and accounting content. Your work will directly influence search, research, and agentic reasoning capabilities used by millions of legal professionals.
Required Skills
- Document Understanding
- Semantic Chunking
- Document Enrichment
- Knowledge Graphs
- Information Extraction
- LLMs
- Synthetic Data
- Model Distillation
- PyTorch
- Python
+1 more
Qualifications
- PhD in Computer Science, AI, or NLP
- Master's Degree with Equivalent 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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