Director of Applied Research
Core
Define and drive the technical vision for AI-powered search, discovery, and knowledge systems, building a world-class team while contributing to production-grade solutions.
Role type
Director of Applied Research (Information Retrieval & Generative AI)
Builds
Enterprise-grade retrieval, ranking, NLP, and knowledge-based AI solutions integrated with Thomson Reuters products.
Domain
Legal, Tax, News, and Corporate domains using AI/ML.
Deliverable
production ML models
Required skills
Information Retrieval, Semantic Search, Retrieval-Augmented Generation (RAG), Agentic Retrieval Systems, Natural Language Processing, Large Language Models, Knowledge Graphs, MLOps, Cloud-Native AI
Preferred skills
Enterprise search platforms, Legal/Tax/Accounting domain experience, Hybrid search, Vector databases, Azure ML/AWS SageMaker
Technologies
Python, PyTorch, Hugging Face, AWS, Azure
Responsibilities
Set strategic direction for IR research; Design and optimize retrieval architectures; Build evaluation frameworks; Hire, train, and manage a high-performing team; Lead development of enterprise-grade AI solutions; Partner with Product and Engineering teams.
Seniority
Director, strategic leadership with hands-on technical contribution
