Thomson Reuters
Job Description
Are you passionate about developing AI systems that transform the way professionals work? Join
Thomson Reuters Labs , where we experiment, build, and deliver cutting-edge solutions in machine learning, natural language processing (NLP), and generative AI. Our flagship AI assistant,
CoCounsel , is designed to streamline complex workflows for legal, tax, and business professionals. We’re seeking innovators to help expand its capabilities and impact. At Thomson Reuters Labs, we combine rigorous research with applied development to solve real-world challenges. From enhancing large language model (LLM) reasoning to creating new skills for task-specific applications, we drive impactful solutions for professionals worldwide. About the Role:
As a
Senior Applied Scientist , you will: Innovate: Develop new skills and capabilities for CoCounsel, focusing on areas such as document summarization, legal research, contract analysis, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models. Build & Experiment: Design, test, and deploy state-of-the-art models that expand CoCounsel’s ability to address complex, real-world tasks. Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions. Mentor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration. Communicate: Publish findings at top-tier conferences (e.g., NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive. Key Responsibilities:
Drive the development of AI models to expand CoCounsel’s task-specific capabilities and overall performance. Enhance CoCounsel’s reasoning, grounding, and responsiveness, ensuring it meets the needs of professional users. Conduct experiments to evaluate AI performance, focusing on reliability, ethical considerations, and user alignment. Work with engineering teams to deploy scalable, production-ready models and co-design ML Ops processes for monitoring and retraining. About You:
You’re a fit for the role of
Senior Applied Scientist
if your background includes: PhD in Computer Science, AI, or a related field, or Master’s with equivalent research/industry experience. 5+ years of hands-on experience building and deploying machine learning models in NLP or IR applications. Expertise in LLMs, including alignment, reasoning enhancement, and grounding techniques. 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. Preferred Qualifications:
Experience developing and deploying AI assistants or task-specific skills in production environments. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and distributed machine learning systems. Knowledge of retrieval-augmented generation, synthetic data creation, and efficient fine-tuning methods. Publications in top-tier ML or NLP conferences. Why Join Us?
Be part of the team shaping CoCounsel, Thomson Reuters’ flagship AI assistant. Access to unparalleled datasets, including 60,000+ TBs of legal, tax, and news data. A culture of experimentation, supported by cutting-edge infrastructure and research resources. Opportunities to publish, patent, and present your work while solving high-impact challenges. Competitive benefits, including flexible work arrangements, research time, and professional development funding. We Value Diversity
At Thomson Reuters Labs, we understand that diversity of thought, background, and experience fuels innovation. If you’re excited about our work in areas such as LLM benchmarking, grounding, agents, and enhancing LLM reasoning abilities but aren’t sure you meet every qualification, we encourage you to apply. Your unique perspective and skills could be vital to driving our research and solutions forward. What’s in it For You?
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, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. 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. Social Impact: Make an impact in your community with our Social Impact Institute. Equal Employment Opportunity
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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Are you passionate about developing AI systems that transform the way professionals work? Join
Thomson Reuters Labs , where we experiment, build, and deliver cutting-edge solutions in machine learning, natural language processing (NLP), and generative AI. Our flagship AI assistant,
CoCounsel , is designed to streamline complex workflows for legal, tax, and business professionals. We’re seeking innovators to help expand its capabilities and impact. At Thomson Reuters Labs, we combine rigorous research with applied development to solve real-world challenges. From enhancing large language model (LLM) reasoning to creating new skills for task-specific applications, we drive impactful solutions for professionals worldwide. About the Role:
As a
Senior Applied Scientist , you will: Innovate: Develop new skills and capabilities for CoCounsel, focusing on areas such as document summarization, legal research, contract analysis, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models. Build & Experiment: Design, test, and deploy state-of-the-art models that expand CoCounsel’s ability to address complex, real-world tasks. Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions. Mentor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration. Communicate: Publish findings at top-tier conferences (e.g., NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive. Key Responsibilities:
Drive the development of AI models to expand CoCounsel’s task-specific capabilities and overall performance. Enhance CoCounsel’s reasoning, grounding, and responsiveness, ensuring it meets the needs of professional users. Conduct experiments to evaluate AI performance, focusing on reliability, ethical considerations, and user alignment. Work with engineering teams to deploy scalable, production-ready models and co-design ML Ops processes for monitoring and retraining. About You:
You’re a fit for the role of
Senior Applied Scientist
if your background includes: PhD in Computer Science, AI, or a related field, or Master’s with equivalent research/industry experience. 5+ years of hands-on experience building and deploying machine learning models in NLP or IR applications. Expertise in LLMs, including alignment, reasoning enhancement, and grounding techniques. 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. Preferred Qualifications:
Experience developing and deploying AI assistants or task-specific skills in production environments. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and distributed machine learning systems. Knowledge of retrieval-augmented generation, synthetic data creation, and efficient fine-tuning methods. Publications in top-tier ML or NLP conferences. Why Join Us?
Be part of the team shaping CoCounsel, Thomson Reuters’ flagship AI assistant. Access to unparalleled datasets, including 60,000+ TBs of legal, tax, and news data. A culture of experimentation, supported by cutting-edge infrastructure and research resources. Opportunities to publish, patent, and present your work while solving high-impact challenges. Competitive benefits, including flexible work arrangements, research time, and professional development funding. We Value Diversity
At Thomson Reuters Labs, we understand that diversity of thought, background, and experience fuels innovation. If you’re excited about our work in areas such as LLM benchmarking, grounding, agents, and enhancing LLM reasoning abilities but aren’t sure you meet every qualification, we encourage you to apply. Your unique perspective and skills could be vital to driving our research and solutions forward. What’s in it For You?
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, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. 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. Social Impact: Make an impact in your community with our Social Impact Institute. Equal Employment Opportunity
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
#J-18808-Ljbffr