Lead Applied Scientist

Thomson Reuters

New York City, NY, USA
Base: $170,000 - $316,000 usd (us locations); base...
Hybrid
Phd or master's degree in computer science
7+ years building production ir nlp ml systems
Deep expertise in rag architectures and agentic frameworks
The role involves defining research strategy and leading high-impact initiatives that shape the company's AI/ML roadmap across multiple product features

Job Summary

  • The role involves defining research strategy and leading high-impact initiatives that shape the company's AI/ML roadmap across multiple product features.
  • Candidates must have deep expertise in RAG architectures, agentic frameworks, tool-using systems, and evaluation methodologies with a focus on complex professional domains.
  • The position offers a hybrid work model, competitive benefits including mental health days, and opportunities for career growth through continuous learning programs.

Matching Summary

The role involves defining research strategy and leading high-impact initiatives that shape the company's AI/ML roadmap across multiple product features.

Salary

Base: $170,000 - $316,000 USD (US locations); Base: $140,000 - $175,000 CAD (Ontario); Bonus: Eligible for Annual Bonus based on performance

Skills & Requirements

Must-have

  • PhD or Master's degree in Computer Science
  • 7+ years building production IR NLP ML systems
  • Deep expertise in RAG architectures and agentic frameworks
  • Experience leading cross-functional teams to deliver AI capabilities
  • Proven ability to publish at top-tier venues like NeurIPS ACL

Nice-to-have

  • Strong product mindset translating customer problems to AI apps
  • Experience in medical tax or law professional domains
  • Thought leadership and mentoring scientists across Labs
  • Well-managed software MLOps practices
  • Outstanding communication and analytical skills

Key Requirements

  • PhD or Master's degree required
  • 7+ years hands-on experience in production AI systems
  • Publications at top-tier venues preferred
  • Experience delivering production code with MLOps practices

Work Rights

Not specified

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