Thomson Reuters Labs is seeking scientists to lead a team in solving problems using state-of-the-art information retrieval, natural language processing, and generative AI, to 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
- Experience delivering minimum viable products in a large enterprise environment
- Demonstrable experience translating complex problems into successful AI applications
- Experience writing production code and ensuring well-managed software delivery
- 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.
- 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
- 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.
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.
