Lead Applied Scientist, Document Understanding
Thomson Reuters is hiring a Lead Applied Scientist, Document Understanding for a remote role open to applicants in United States. It pays $148k-$274k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Builds AI ●●●● is how Level rates this applied scientist role: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Hugging Face, PyTorch and Sagemaker.
- Level lists 465 other open roles at Thomson Reuters.
- The role was posted in the last few days.
AI in this role
Lead Applied Scientist, Document Understanding
Job Description:
This role sits within the applied science function. You will own the design, development, and production deployment of document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact.You will work across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers.
Key Responsibilities:
- Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases
- Build document enrichment systems using legal and customer-defined taxonomies
- Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content
- Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs
- Design evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data
- Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods
- Partner with engineering on delivery, reliability, and scale across multiple product lines
- Provide technical input to senior leadership on AI strategy and roadmap
- Mentor applied scientists and ML practitioners on the team
Required Qualifications:
- PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field
- 8+ years of industry experience building and scaling document understanding, information extraction, knowledge graph, or applied NLP solutions
- Demonstrated expertise across the end-to-end ML lifecycle, including model development, evaluation, optimization, distillation, and production deployment
- Strong Python programming skills with hands-on experience in PyTorch, Hugging Face Transformers, and DeepSpeed
- Track record of publishing research in leading conferences such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
- Proven ability to mentor technical talent and drive measurable business impact through production-ready AI systems
- Experience translating advanced research into scalable, high-performing products and services
- Strong communication and cross-functional collaboration skills, with the ability to influence technical and business stakeholders alike
Hands-on production depth required in:
- Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods
- Hierarchical, multi-label document classification with domain-specific and customer-defined schemas
- Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text
- LLM-based information extraction, few-shot and multi-task learning, and post-training
- Knowledge distillation, model compression, and SLM deployment under latency constraints
- Synthetic data generation and annotation workflow design
- End-to-end evaluation framework design for document understanding
Preferred Qualifications
- Legal document understanding, legal IE, or legal AI experience
- Complex document structures: nested hierarchies, cross-references, non-uniform formatting
- Retrieval or QA systems over large document collections
- RAG and agentic workflows in enterprise settings
- Knowledge graph frameworks for legal or enterprise applications
- AzureML or AWS SageMaker
#LI-SM2
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.
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 $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 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 01/31/2027.
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.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
How we rate this
Lead Applied Scientist, Document Understanding at Thomson Reuters rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- This job starts at
- $148k
- Typical applied scientist job
- $167k
This posting starts 12% below the typical applied scientist job. See applied scientist jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What's a project where you used Hugging Face hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, NLP, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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