Senior Applied Scientist, Search & Information Retrieval

Relha LLC

Eagan, Northern (MN, KY)

Hybrid

USD 137,000 - 255,000

Full time

8 days ago
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Job summary

Thomson Reuters seeks a Senior Applied Scientist for Search & Information Retrieval to design, build, and deploy production-grade neural search systems powering Westlaw, PracticalLaw, and CoCounsel. You will advance dense retrieval, hybrid search, and query understanding in a scalable legal content platform.

You should hold a PhD or Master’s in CS/AI/NLP with 5+ years shipping search systems to production, and possess hands-on Deep Learning expertise in NLP and neural IR.

Qualifications

  • PhD or Master's in CS, AI, NLP, or a related field.
  • 5+ years of post-degree industry experience shipping search or retrieval systems.
  • Publications at SIGIR/ECIR/NeurIPS/ACL/EMNLP/ICLR or equivalent.
  • Production Python experience and ML/DL toolchain (PyTorch, DeepSpeed, etc.).

Responsibilities

  • Design, build, and deploy end-to-end neural search systems including dense retrieval and hybrid search.
  • Develop models for query understanding and document re-ranking.
  • Build evaluation frameworks for component- and end-to-end retrieval quality.
  • Drive architecture, indexing, ranking, and evaluation decisions.
  • Collaborate with engineering on delivery, reliability, and scale.
  • Contribute to publications and IP in relevant venues.

Skills

Post-degree industry experience
Neural IR / deep learning for NLP
Publications in SIGIR/ECIR/NeurIPS/ACL
Production deployment in search/retrie
Independent work / self-driven

Education

PhD or Master's in Computer Science, AI, NLP, or related field

Tools

PyTorch
DeepSpeed
Torchtune
LlamaFactory

Job description

Senior Applied Scientist, Search & Information Retrieval
Senior Applied Scientist, Search & Information Retrieval
About the Role

This is an applied science position focused on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel. You will work across neural information retrieval, semantic and hybrid search, re-ranking, and query understanding — delivering search quality and relevance at scale for legal and professional content.

About You

You hold a PhD or Master's in Computer Science, AI, NLP, or a related field, with 5+ years of post-degree industry experience shipping search or retrieval systems into production. You have hands-on depth in neural IR and deep learning for NLP, you work independently, and you measure success by what performs in production.

What You'll Do

Design, build, and deploy end-to-end neural search systems including dense retrieval, hybrid search, semantic chunking, embedding models, cross-encoders, SLM re-rankers, and transformer-based approaches

Develop models for query understanding, document re-ranking, and retrieval quality optimization

Build evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data generation

Drive independent technical decisions on retrieval architecture, indexing strategy, ranking models, and evaluation methodology

Partner with engineering on delivery, reliability, and scale across multiple product lines

Contribute to published research at venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, and ICLR, and to intellectual property

Required Qualifications
PhD or Master's in Computer Science, AI, NLP, or a related field

5+ years of post-degree industry experience shipping search, retrieval, or RAG systems into production — not research-only experience

Publications at SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR, or equivalent

Production Python and experience with PyTorch, DeepSpeed, Torchtune, or LlamaFactory

Hands-on production depth required in:

Search and RAG system design: vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context optimisation, and orchestration

Evaluation framework design for retrieval quality at component and system level

Post-training of large language models and their application to retrieval systems

Deep learning and NLP fundamentals
Preferred Qualifications

Search, QA, or RAG over large corpora and long documents, including legal or enterprise search

Multi-stage or agentic retrieval architectures and query understanding for complex information needs

Legal domain applications: case law retrieval, precedent finding, document review

#LI-MW1

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

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, 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. 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: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers 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. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: 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; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $137,100 USD - $254,700 USD.

For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

This job posting will close 12/31/2026.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. 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. More information on requesting an accommodation here.

More information about Thomson Reuters can be found on thomsonreuters.com
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