Thomson Reuters Labs is seeking scientists to solve problems using state-of-the-art information retrieval, natural language processing, and generative AI to enhance Thomson Reuters' products and drive AI innovation for Core Research Products.
Requirements
- Experience researching, building, and evaluating NLP systems
- Solid engineering skills for prototyping; experience contributing to a shared codebase; and familiarity with workflows for remote development (AWS, Azure or similar)
- Demonstrated ability to communicate AI concepts to a diverse audience
- Experience designing and implementing solutions with large language models
- Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
- Experience writing production code and ensuring well-managed software delivery
Responsibilities
- Take ideas through the end-to-end model development lifecycle (task design, data creation, training, evaluation and model governance)
- Think creatively about new capabilities generative AI can unlock for our customers
- Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements
- Create functional POCs to test new capabilities and Product concepts
- Write clean code, participate in code reviews, and contribute to well-managed software delivery in a production environment
Other
- PhD or Master’s in a relevant discipline
- Outstanding communication, problem-solving, and analysis skills
- 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
- Career Development and Growth: By fostering a culture of continuous learning and skill development
