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Thomson Reuters · 1 day ago

Applied Scientist, NLP/IR/GenAI

New York, NY

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $232K/yr

3+ years exp

Thomson Reuters is a global leader in providing trusted content and technology solutions. They are seeking an Applied Scientist to innovate and deliver advanced AI search solutions while collaborating with engineering and product teams to address complex challenges in information retrieval and natural language processing.

AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware

H1B Sponsor Likely

Hiring Manager

Lukas Pasvianskas

Responsibilities

Design, build, test, and deploy end-to-end AI search solutions using neural information retrieval techniques, semantic and hybrid search, and re-ranking approaches

Develop models for information retrieval, semantic search, document re-ranking, and query understanding, including dense retrieval architectures, semantic chunking models, embedding models, cross-encoders, SLM re-rankers, and transformer-based LLM-driven approaches

Work in collaboration with engineering to ensure well-managed software delivery and reliability at scale

Develop comprehensive data and evaluation strategies for both component-level and end-to-end quality, leveraging expert human annotation and synthetic data generation

Apply robust training and evaluation methodologies to optimize retrieval quality and latency

Independently determine appropriate retrieval architectures, indexing strategies, ranking models, data, and evaluation strategies for IR and NLP problems

Solve search relevance, ranking, and scalability challenges in a self-directed manner while contributing effectively as part of a multidisciplinary team

Partner closely with Engineering and Product to translate complex challenges into scalable, production-ready solutions

Engage stakeholders to deeply understand business problems and domains, shaping objectives and goals that align AI search capabilities with product needs and business objectives

Publish at top venues (e.g., SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR) and contribute to patents to keep our solutions cutting-edge and competitive

Qualification

Neural information retrievalDeep learning frameworksInformation retrieval fundamentalsAI applicationsPublications in top venuesPythonData evaluation strategiesMachine learningSoft skills

Required

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 modern search or RAG systems with neural retrieval methods and deep learning models for NLP

Strong background in information retrieval fundamentals, including indexing, query processing, ranking and relevance modelling

Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, DeepSpeed, Torchtune, LlamaFactory)

Proven ability to translate complex problems into innovative AI applications

Publications at relevant venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR

Deep understanding of neural information retrieval fundamentals: BM25, hybrid search, dense retrieval (e.g., DPR, ColBERT), cross-encoders, bi-encoders, late interaction models

Hands-on experience designing and implementing search or RAG systems: vector databases, retrieval strategies, document chunking, metadata filtering, hybrid search, re-ranking, context optimization, and orchestration

Experience developing relevant datasets and evaluation frameworks

Solid understanding of ML and deep learning approaches for NLP

Solid understanding and experience with post-training of large language models and their application to retrieval systems

Preferred

Extensive prior work on search, question answering or RAG over large corpora and long documents, including experience with legal or enterprise search systems

Experience with multi-stage or agentic retrieval architectures and query understanding for complex information needs

Experience building applications for the legal domain (e.g., legal search, case law retrieval, precedent finding, document review, document drafting)

Publications at relevant venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR

Benefits

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.

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.

Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.

Market competitive health, dental, vision, disability, and life insurance programs

Competitive 401k plan with company match

Market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave.

Optional hospital, accident and sickness insurance paid 100% by the employee

Optional life and AD&D insurance paid 100% by the employee

Flexible Spending and Health Savings Accounts

Fitness reimbursement

Access to Employee Assistance Program

Group Legal Identity Theft Protection benefit paid 100% by employee

Access to 529 Plan

Commuter benefits

Adoption & Surrogacy Assistance

Tuition Reimbursement

Access to Employee Stock Purchase Plan

Company

Thomson Reuters

Glassdoor3.0

Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets.

Founded in 2008

Toronto, Ontario, CAN

10001+ employees

http://thomsonreuters.com

H1B Sponsorship

Thomson Reuters has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (13)

2024 (12)

2023 (5)