Lead Applied Scientist

Jobtailor

Minnesota

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Thomson Reuters is seeking a senior AI/ML leader to define research strategy and drive high-impact initiatives across product features. You will shape the AI roadmap, shepherd innovations in legal reasoning, document understanding, and knowledge graphs, and set technical vision.

You will mentor scientists across Labs, engage stakeholders, and translate complex customer problems into data-driven AI solutions with tangible business impact.

Qualifications

  • PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field.
  • 7+ years of hands-on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques.
  • Demonstrated experience leading through others in cross-functional teams to deliver end-to-end AI capabilities.
  • Strong product mindset with ability to translate complex customer problems into successful AI applications.
  • Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes.
  • Outstanding communication and analytical skills.
  • Deep expertise in RAG architectures, agentic frameworks, tool-using systems, and evaluation methodologies.
  • Significant experience developing novel methods for complex professional domains such as medical, tax, or law.
  • Publications at top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD).

Responsibilities

  • Define research strategy and lead high-impact initiatives.
  • Shape Thomson Reuters' AI/ML roadmap across multiple product features.
  • Drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs.
  • Establish best practices and technical vision.
  • Provide thought leadership internally and externally.
  • Mentor scientists across Labs and lead stakeholder engagement.
  • Develop a deep understanding of customer problems and data that informs them.

Skills

Research leadership
Product mindset
Communication skills
RAG architectures
Agentic frameworks
Tool-using systems
Evaluation methodologies
Publications at top-tier venues

Education

PhD or Master's degree with equivalent industry experience

Job description

Responsibilities
  • Define research strategy and lead high-impact initiatives
  • Shape Thomson Reuters' AI/ML roadmap across multiple product features
  • Drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs
  • Establish best practices and technical vision
  • Provide thought leadership internally and externally
  • Mentor scientists across Labs and lead stakeholder engagement
  • Develop a deep understanding of customer problems and data that informs them
Requirements
  • PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field
  • 7+ years of hands‑on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques
  • Demonstrated experience leading through others in cross‑functional teams to deliver end‑to‑end AI capabilities
  • Strong product mindset with ability to translate complex customer problems into successful AI applications
  • Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes
  • Outstanding communication and analytical skills
  • Deep expertise in RAG architectures, agentic frameworks, tool‑using systems, and evaluation methodologies
  • Significant experience developing novel methods for complex professional domains such as medical, tax, or law
  • Publications at top‑tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)
Core Competencies

Expertise in defining research strategies and leading high-impact AI/ML initiatives, with a strong focus on developing innovative solutions in specialized domains such as legal reasoning and document understanding. Proven ability to mentor teams, engage stakeholders, and translate complex customer problems into effective AI applications.

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