Thomson Reuters Labs is seeking scientists to solve problems using state-of-the-art information retrieval, natural language processing, and generative AI to enhance their tax, accounting, and audit compliance software.
Requirements
- 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
- (Preferred) 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.
- Leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions.
- Operate in an agile way, pushing for quick iterations guided by customers’ needs.
- 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
- 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
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
