Applied Scientist, Search

Thomson Reuters

Zug, Switzerland
Not specified; not specified; comprehensive benefi...
Hybrid (2-3 days in the office)
Phd in computer science or related field
Experience with llm-based knowledge graphs
Semantic chunking of legal documents
Thomson Reuters is seeking an Applied Scientist to enhance their legal AI products by developing advanced document understanding systems. The role, based in Zug, Switzerland, or London, UK, involves designing AI solutions for semantic chunking, document enrichment, and knowledge graph construction, aimed at improving how legal professionals interact with complex documents

Job Summary

  • This role involves designing and deploying end-to-end AI solutions for complex document understanding tasks within the legal domain.
  • Candidates will build state-of-the-art semantic chunking and knowledge graph systems that serve as the cognitive foundation for multiple product teams.
  • The company offers a hybrid work model, flexible vacation policies, and comprehensive benefits including mental health resources and tuition reimbursement.

Matching Summary

Match Score: 85

Thomson Reuters is seeking an Applied Scientist to enhance their legal AI products by developing advanced document understanding systems. The role, based in Zug, Switzerland, or London, UK, involves designing AI solutions for semantic chunking, document enrichment, and knowledge graph construction, aimed at improving how legal professionals interact with complex documents.

Salary

Not specified; Not specified; Comprehensive benefit plans included

Skills & Requirements

Must-have

  • PhD in Computer Science or related field
  • Experience with LLM-based knowledge graphs
  • Semantic chunking of legal documents
  • Synthetic data generation techniques
  • Python and PyTorch deep learning frameworks

Nice-to-have

  • Publications at ACL, EMNLP, or NeurIPS venues
  • Knowledge distillation for SLM compression
  • Collaboration with engineering teams
  • Experience with hierarchical taxonomies
  • Expert human annotation workflows

Key Requirements

  • PhD in Computer Science, AI, NLP, or related field
  • Master's degree with equivalent research experience
  • Proven track record of publishing at top venues

Work Rights

Not specified

Tailored Resume

Cover Letter