Applied Scientist

Thomson Reuters is a leading information and technology company seeking an Applied Scientist to develop and implement machine learning and AI solutions for their legal, tax, and regulatory domains. The role involves collaborating with product and engineering teams to deliver impactful solutions while learning from domain experts.ResponsibilitiesDevelop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domainsDesign experiments, build models, and translate research into production-ready featuresCollaborate with product and engineering teams to deliver measurable impact for customersSkillsPhD or Master's degree in Computer Science, Machine Learning, or a related field1-2 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 systemsFamiliarity with cloud development environments (AWS, Azure, or GCP)Strong communication and problem-solving skills, with the ability to work effectively across functionsExperience 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 frameworksPublications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR)Experience with production code and MLOps practicesBenefitsHybrid Work ModelFlexibility & Work-Life BalanceCareer Development and GrowthIndustry Competitive BenefitsSocial ImpactCompany OverviewThomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets. It was founded in 2008, and is headquartered in Toronto, Ontario, CAN, with a workforce of 10001+ employees. Its website is http://thomsonreuters.com.Company H1B SponsorshipThomson Reuters has a track record of offering H1B sponsorships, with 1 in 2026, 13 in 2025, 12 in 2024, 5 in 2023. Please note that this does not guarantee sponsorship for this specific role.