5+ years experience building production ir systems
Expertise in rag architectures and agentic frameworks
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Thomson Reuters is seeking a Senior Applied Scientist to join their AI Research & Development team, TR Labs, focusing on applied research in areas like legal intelligence and tax automation. The ideal candidate will have extensive experience in machine learning and artificial intelligence, with a strong emphasis on leading end-to-end projects and mentoring other scientists.
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Job Summary
The role involves leading end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance.
Candidates must have a PhD or Master's degree with equivalent industry experience and 5+ years of hands-on experience deploying production AI systems.
The company offers a hybrid work model, flexible vacation policies, two company-wide Mental Health Days off, and comprehensive benefits including tuition reimbursement.
Matching Summary
Match Score: 75
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Thomson Reuters is seeking a Senior Applied Scientist to join their AI Research & Development team, TR Labs, focusing on applied research in areas like legal intelligence and tax automation. The ideal candidate will have extensive experience in machine learning and artificial intelligence, with a strong emphasis on leading end-to-end projects and mentoring other scientists.
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Salary
Base: $146,800 - $272,600 USD (US locations); Base: $100,000 - $145,000 CAD (Ontario); Bonus: Eligible for Annual Bonus based on performance; Benefits: Comprehensive health, dental, vision, 401k match, mental health days, tuition reimbursement
Skills & Requirements
Must-have
PhD or Master's degree in Computer Science
5+ years experience building production IR systems
Expertise in RAG architectures and agentic frameworks
Experience leading end-to-end AI project delivery
Background in medical, tax, or law domains
Nice-to-have
Publications at ACL, EMNLP, NeurIPS, or KDD venues
Strong communication skills to influence technical direction
Mentoring experience for junior scientists
Experience with tool-using systems and orchestration patterns
Key Requirements
PhD or Master's degree required
5+ years of hands-on industry experience
Proven track record in NLP, ML, or GenAI deployment