Applied Scientist, NLP/IR/GenAI
Thomson Reuters
Software Engineering
USD 108,500-232,100 / year + Equity
Posted on Oct 7, 2025
Join us in building Thomson Reuters' next-generation search that powers everything from direct user queries to cutting-edge GenAI applications across our product suite. We're conducting advanced research to apply modern, state-of-the-art techniques to deliver the most accurate and comprehensive search for legal and professional information.
About the Role
As an Applied Scientist, you will:
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.
Work Autonomously & With a Team: Solve problems in a self-directed manner while contributing effectively as part of a multidisciplinary team.
Make Sound Technical Choices: Independently determine appropriate data, modeling approaches, and evaluation strategies for NLP and IR problems.
Communicate & Align: Engage stakeholders to deeply understand business problems and domains, shaping objectives and goals that align AI technologies with product needs.
Operationalize ML: Understand and inform MLOps processes for monitoring, evaluation, and retraining to maintain high-quality models in production.
Advance the Field: Publish at top venues (e.g., NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents to keep our solutions cutting-edge and competitive.
Key Responsibilities
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.
Partner closely with Engineering and Product to translate complex challenges into scalable, production-ready solutions.
Define metrics and run experiments for model monitoring, evaluation, and retraining.
About You
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).
Proven ability to translate complex problems into innovative AI applications.
Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.
Technical Qualifications
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).
Working understanding of the inner workings of large language models.
Experience with text-heavy NLP projects.
Practical experience with generative AI technologies (prompt engineering, in-context learning, chain-of-thought, prompt optimization, auto-evaluation, function calling, controlled generation, etc.).
Practical experience with RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training and fine-tuning.
Preferred Qualifications
Prior work on search and question answering over large corpora and/or long-document summarization.
Experience building applications for the legal domain (e.g., document review, document drafting).
Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD, or similar conferences and venues.
#LI-LP2
What’s in it For You?
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, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com.