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Tier-1 employer and metro location increase competition, but niche senior ML research requirements reduce applicant pool.
Role requires deep ML research and domain-specific expertise, limiting cross-industry transferability.
Explicit 7+ years, PhD/Master, domain expertise and publication requirements make filters highly selective.
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Define research strategy and lead AI/ML initiatives that influence Thomson Reuters' product features and roadmap.
Drive innovation and establish best practices in specialized domains such as legal reasoning, document understanding, or knowledge graphs.
Provide thought leadership and mentorship across teams, engaging with stakeholders and deeply understanding customer problems and data.
PhD or Master's degree (or equivalent industry experience) in Computer Science, Machine Learning, or related fields.
7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems using modern techniques.
Demonstrated experience leading cross-functional teams to deliver end-to-end AI capabilities.
Strong expertise in RAG architectures, agentic frameworks, and evaluation methodologies relevant to complex domains like legal, medical, or tax.
Experienced leader with proven ability to translate complex customer problems into impactful AI products and influence product roadmaps.
Deep domain knowledge in professional sectors such as legal, tax, or medical with a record of publishing at top-tier AI conferences.
Pragmatic operating style focused on production-grade delivery, including strong software and MLOps practices in AI system development.