Thomson Reuters is looking to build a next-generation search that powers everything from direct user queries to cutting-edge GenAI applications across their product suite, by applying modern, state-of-the-art techniques to deliver the most accurate and comprehensive search for legal and professional information.
Requirements
- PhD in Computer Science, AI, or a related field, or a Master's with equivalent research/industry experience.
- 3+ years of hands-on experience building and deploying deep learning models for NLP or IR applications.
- Expertise in large language models (LLMs).
- Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of classic ML techniques used for NLP problems.
- Solid understanding of deep learning approaches for NLP and IR (e.g., transformer-based models).
- Practical experience with generative AI technologies (prompt engineering, in-context learning, chain-of-thought, prompt optimization, auto-evaluation, function calling, controlled generation, etc.).
Responsibilities
- Innovate: Design end-to-end AI solutions using information retrieval techniques, prompting workflows, and robust training/evaluation methodologies to optimize model performance and impact.
- Build & Deliver: Develop, test, and deploy live production systems in collaboration with engineering, ensuring well-managed software delivery and reliability at scale.
- Make Sound Technical Choices: Independently determine appropriate data, modeling approaches, and evaluation strategies for NLP and IR problems.
- Operationalize ML: Understand and inform MLOps processes for monitoring, evaluation, and retraining to maintain high-quality models in production.
- Drive the design and delivery of AI capabilities that enhance Thomson Reuters' products and align with business objectives.
- Build and optimize models for NLP and IR applications, including transformer-based and LLM-driven approaches.
- Develop prompting workflows and evaluation designs to ensure reliability, quality, and continuous improvement.
Other
- PhD in Computer Science, AI, or a related field, or a Master's with equivalent research/industry experience.
- 3+ years of hands-on experience building and deploying deep learning models for NLP or IR applications.
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities.
