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Thomson Reuters Labs is seeking scientists to solve problems using state-of-the-art information retrieval, natural language processing, and generative AI to lead a team and design the next generation of tax, accounting, and audit compliance software.

Requirements

• 8+ years hands-on experience building IR / NLP systems for commercial applications
• Strong experience in GenAI/Rag/LLM
• Strong track record of delivering AI solutions at scale in enterprise environments.
• Experience delivering minimum viable products in a large enterprise environment
• Demonstrable experience translating complex problems into successful AI applications
• Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance.
• Experience innovating state-of-the-art research to solve real-world problems.

Responsibilities

• Manage: Direct the efforts of a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
• Lead and Inspire: Build, mentor, and grow a high-performing team of applied scientists
• Drive Research to Production: Translate state-of-the-art AI research into scalable, production-ready solutions.
• Shape Strategy: Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
• Ensure Operational Excellence: Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation
• Champion Innovation: Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.
• Experience writing production code and ensuring well-managed software delivery

Other

• PhD in a relevant discipline or Master’s plus a comparable level of experience
• Prior management experience – coaching & developing high-performing teams
• Ability to influence senior stakeholders and align AI initiatives with business goals
• Outstanding communication, problem solving, and analysis skills
• Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.