Applied Scientist

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. What does Thomson Reuters Labs do?  We experiment, we build, we deliver.  Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities. About the Role As an Applied Scientist, you will develop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domains. Working with guidance from senior team members, you will design experiments, build models, and translate research into production-ready features. This role involves strong collaboration with product and engineering teams to deliver measurable impact for customers. You will learn from deep domain experts about a variety of complex and interesting real-world problems. About You You’re a fit for the role of Applied Scientist if your background includes: PhD or Master’s degree in Computer Science, Machine Learning, or a related field 1-2 years of hands-on experience building systems using modern techniques in information retrieval, NLP, machine learning, or generative AI (examples include deep learning, transformer architectures, hybrid search, dense retrieval, vector databases, or agentic systems) Strong programming skills in Python and familiarity with a modern ML framework (PyTorch, JAX, DeepSpeed, or similar) Experience working with shared codebases and version control systems Familiarity with cloud development environments (AWS, Azure, or GCP) Strong communication and problem-solving skills, with the ability to work effectively across functions Experience implementing and evaluating solutions with large language models and LLM evaluation frameworks (e.g., OpenAI Evals, HELM, LM Harness, or custom tools) Experience with retrieval-augmented generation (RAG), tool-using agents, and agentic frameworks Publications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR) Experience with production code and MLOps practices #LI-MW1 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 ... (truncated, view full listing at source)