Senior Applied Scientist, Search & Retrieval (Remote)

Thomson Reuters; New York (NY); Vor Ort; USD 148.000 - 274.000; Vollzeit

Benefits dieser Stelle

Flexible work arrangements

Mental Health Days off

Headspace app access

Retirement savings

Tuition reimbursement

Employee Stock Purchase Plan

Zusammenfassung

Thomson Reuters seeks an accomplished Lead Applied Scientist to own the design, development, and production deployment of large-scale search and information retrieval systems powering Westlaw, Practical Law, and CoCounsel. You will work across indexing, ranking, semantic retrieval, and hybrid search for complex legal, tax, and accounting content.

You will lead and mentor teams, publish results, and drive production-ready deployments with measurable impact, applying both traditional IR techniques

Qualifikationen

• PhD in Computer Science, Information Retrieval, AI, ML, NLP, or related field; 8+ years of post-degree industry experience.
• Strong production Python skills and experience with PyTorch, Hugging Face Transformers, and distributed model development.
• Experience building and deploying large-scale search, information retrieval, and ranking systems.

Aufgaben

• Design and deploy search architectures for large-scale legal, tax, and enterprise content.
• Build and optimize ingestion pipelines for retrieval readiness.
• Develop ranking and re-ranking systems with traditional IR and LLM-based methods.
• Improve retrieval quality via semantic, hybrid retrieval, and query understanding.
• Lead technical decisions on indexing, architectures, and search infrastructure; mentor teams.

Kenntnisse

Python

PyTorch

Hugging Face Transformers

Information Retrieval

NLP

Large-scale search

RAG architectures

Distributed systems

Ausbildung

PhD in Computer Science / Information Retrieval / AI

Tools

PyTorch

Hugging Face Transformers

Elasticsearch/OpenSearch/Solr/Vespa

Jobbeschreibung

Thomson Reuters seeks an accomplished Lead Applied Scientist to own the design, development, and production deployment of large-scale search and information retrieval systems powering Westlaw, Practical Law, and CoCounsel. You will work across indexing, ranking, semantic retrieval, and hybrid search for complex legal, tax, and accounting content.

You will lead and mentor teams, publish results, and drive production-ready deployments with measurable impact, applying both traditional IR techniques