Thomson Reuters is seeking scientists to solve problems using state-of-the-art information retrieval, natural language processing and generative AI to enhance their products and drive product innovation and value.
Requirements
- PhD in a relevant discipline or Master’s plus a comparable level of experience
- 5+ years of hands-on experience building IR / NLP systems for commercial applications
- Experience writing production code and ensuring well-managed software delivery
- Demonstrable experience translating complex problems into successful AI applications
- Outstanding communication, problem-solving, and analysis skills
- Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.
Responsibilities
- Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
- Operate in an agile way, pushing for quick iterations guided by customers’ needs.
- Be accountable for all research deliverables on small to medium-sized projects
- Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company’s products and services.
- Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
- Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.
Other
- PhD in a relevant discipline or Master’s plus a comparable level of experience
- 5+ years of experience
- Outstanding communication, problem-solving, and analysis skills
- Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback
- Travel and work in a hybrid environment with 2-3 days a week in the office
