Thomson Reuters
Overview
Join us in building Thomson Reuters' next-generation search platform that powers everything from direct user queries to GenAI applications across our product suite. We're creating a modular, state-of-the-art search infrastructure that will dramatically accelerate development timelines while elevating search quality company-wide. 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.
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, including work from anywhere for up to 8 weeks per year.
Career Development and Growth:
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 including flexible vacation, two company-wide Mental Health Days off, retirement savings, tuition reimbursement, and wellbeing resources.
Culture:
Globally recognized 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:
Two paid volunteer days off annually and opportunities to get involved with ESG initiatives.
Making a Real-World Impact:
We help customers pursue justice, truth, and transparency, upholding the rule of law and providing trusted information globally.
In the United States, Thomson Reuters offers a comprehensive benefits package including health, dental, vision, disability, and life insurance, retirement savings with company match, vacation, sick time, holidays (including two mental health days), parental leave, and other benefits. Compensation ranges are location-based. Eligible office locations include New York, San Francisco, Los Angeles, Irvine, McLean, and Washington, DC with base ranges provided in the job posting. This role may be eligible for an annual bonus based on performance. Base pay is determined by factors including knowledge, skills, and experience, with consideration to internal equity. This description is not a contract and may be amended. For more information, see our Total Reward program. About Us
Thomson Reuters informs the way forward by bringing together trusted content and technology to empower professionals across legal, tax, accounting, compliance, government, and media. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are a global company with 26,000 employees in over 70 countries, committed to inclusion, flexibility, and growth. We seek talented, qualified employees in all locations regardless of race, color, sex/gender, national origin, religion, sexual orientation, disability, age, veteran status, or other protected status. We are an Equal Employment Opportunity Employer and a drug-free workplace. We make reasonable accommodations for applicants with disabilities and for sincerely held religious beliefs as required by law. If you need an accommodation in the recruiting process, contact HR. More information on accommodations and about Thomson Reuters can be found on thomsonreuters.com.
#J-18808-Ljbffr
Join us in building Thomson Reuters' next-generation search platform that powers everything from direct user queries to GenAI applications across our product suite. We're creating a modular, state-of-the-art search infrastructure that will dramatically accelerate development timelines while elevating search quality company-wide. 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.
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, including work from anywhere for up to 8 weeks per year.
Career Development and Growth:
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 including flexible vacation, two company-wide Mental Health Days off, retirement savings, tuition reimbursement, and wellbeing resources.
Culture:
Globally recognized 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:
Two paid volunteer days off annually and opportunities to get involved with ESG initiatives.
Making a Real-World Impact:
We help customers pursue justice, truth, and transparency, upholding the rule of law and providing trusted information globally.
In the United States, Thomson Reuters offers a comprehensive benefits package including health, dental, vision, disability, and life insurance, retirement savings with company match, vacation, sick time, holidays (including two mental health days), parental leave, and other benefits. Compensation ranges are location-based. Eligible office locations include New York, San Francisco, Los Angeles, Irvine, McLean, and Washington, DC with base ranges provided in the job posting. This role may be eligible for an annual bonus based on performance. Base pay is determined by factors including knowledge, skills, and experience, with consideration to internal equity. This description is not a contract and may be amended. For more information, see our Total Reward program. About Us
Thomson Reuters informs the way forward by bringing together trusted content and technology to empower professionals across legal, tax, accounting, compliance, government, and media. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are a global company with 26,000 employees in over 70 countries, committed to inclusion, flexibility, and growth. We seek talented, qualified employees in all locations regardless of race, color, sex/gender, national origin, religion, sexual orientation, disability, age, veteran status, or other protected status. We are an Equal Employment Opportunity Employer and a drug-free workplace. We make reasonable accommodations for applicants with disabilities and for sincerely held religious beliefs as required by law. If you need an accommodation in the recruiting process, contact HR. More information on accommodations and about Thomson Reuters can be found on thomsonreuters.com.
#J-18808-Ljbffr