Join Thomson Reuters as a Lead Scientist focused on developing cutting-edge search systems. Utilize your expertise in neural information retrieval and semantic search to transform how legal specialists access information.
As a Senior Applied Scientist, you will play a vital role in deploying high-performance search solutions for Westlaw, PracticalLaw, and CoCounsel. Your 5+ years of hands-on experience in the industry will empower you to design effective models for re-ranking and retrieval quality optimization. Your contributions will significantly enhance legal content accessibility.
Key Responsibilities:
• Build and deploy neural search systems including semantic and hybrid approaches
• Develop models for effective query understanding




• Establish evaluation frameworks for ongoing search quality assessment
• Make strategic decisions on indexing and retrieval
• Collaborate with engineering teams on reliability and scalability
Requirements:
• PhD or Master's in Computer Science, AI, or related fields
• 5+ years of relevant industry experience in production systems
• Research publications in relevant academic venues
• Expertise in Python and neural IR fundamentals
• Familiarity with evaluation frameworks for retrieval systems
Drive the future of legal technology with your advanced skills in search at Thomson Reuters.
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📌 Lead Scientist For Search Systems Development Toronto
🏢 Thomson Reuters
📍 Toronto