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About the Role

This role focuses on building state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems for legal AI platforms. You will solve publishing-quality research problems with immediate production impact, shaping how legal professionals research and analyze complex documents, and advancing the capabilities of intelligent legal AI agents.

Responsibilities

• Design, build, test, and deploy end-to-end AI solutions for complex document understanding tasks in the legal domain.
• Develop advanced models for semantic chunking of lengthy, non-uniformly structured legal documents with adjustable granularity levels.
• Build document enrichment systems that classify documents and extract rich metadata.
• Create LLM-based knowledge graph construction pipelines to extract and link legal knowledge.
• Develop scalable synthetic data generation systems to support model training and simulate complex legal research queries.
• Collaborate with engineering to ensure well-managed software delivery and reliability at scale.
• Develop comprehensive data and evaluation strategies for component-level and end-to-end quality.
• Apply robust training and evaluation methodologies that balance model performance with latency requirements.
• Apply knowledge distillation techniques to compress large models into efficient SLMs.
• Independently determine appropriate architectures for challenging document understanding problems.
• Balance accuracy, efficiency, and scalability while solving real-world challenges.
• Partner closely with Engineering and Product teams to translate challenges into production-ready solutions.
• Engage stakeholders to understand use case requirements and shape objectives.
• Maintain scientific and technical expertise in relevant areas through product deliverables, published research, and intellectual property.

Requirements

• PhD in Computer Science, AI, NLP, or a related field, or a Master's with equivalent research/industry experience.
• Demonstrable hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods.
• Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency.
• Professional experience scaling yourself and leading through others, in an applied research setting.
• Strong programming skills (e.g., Python).
• Experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed).
• Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD.

Skills

• Document layout analysis
• Semantic chunking approaches
• Document classification handling hierarchical taxonomies
• Imbalanced multi-label classification
• Adapting to domain-specific schemas
• Knowledge extraction
• Knowledge graph construction
• Entity recognition and linking
• Relation extraction
• Citation parsing
• Building graph representations from unstructured text
• LLM-based information extraction
• Few-shot and multi-task learning
• Post-training and knowledge distillation
• Synthetic data generation techniques for NLP
• Query - answer generation with verification
• Scalable data augmentation for training specialized models
• Efficiency optimization
• Model compression
• Designing SLM-based solutions
• DL/ML approaches used for NLP tasks
• Designing annotation workflows
• Creating high-quality labeled datasets with clear guidelines
• Developing evaluation frameworks for document understanding tasks

Location

• Zug, Switzerland
• London, UK

Work Type

• Hybrid Work Model

Experience Level

• Senior

Education Level

• PhD in Computer Science, AI, NLP, or a related field
• Master's with equivalent research/industry experience

Benefits

• Flexible vacation
• Two company-wide Mental Health Days off
• Access to the Headspace app
• Retirement savings
• Tuition reimbursement
• Employee incentive programs
• Resources for mental, physical, and financial wellbeing
• Work from anywhere for up to 8 weeks per year

About the Company

• 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.
• Join us and help shape the industries that move society forward.

Equal Opportunity

• 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.