Applied Scientist, Search

Thomson Reuters

. Design, build, test, and deploy end-to-end AI solutions for complex document understanding tasks in the legal domain.

Posted 5/1/2026full-timeZug • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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 for different use cases.
Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata.
Create LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge including citations, entities, and legal concepts across diverse legal content.
Develop scalable synthetic data generation systems to support model training, simulate complex legal research queries and generate hallucination-free answers.
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 that balance model performance with latency requirements, particularly for SLM-based solutions.
Independently determine appropriate architectures for challenging document understanding problems.

Requirements

What you’ll need

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 and knowledge distillation, or knowledge graph construction using deep learning, LLMs and NLP methods.
Solid understanding of synthetic data generation techniques for NLP, including query - answer generation with verification and scalable data augmentation for training specialized models
Deep understanding of document understanding fundamentals: document layout analysis, semantic chunking approaches beyond fixed-size or paragraph-based methods, document classification handling hierarchical taxonomies, imbalanced multi-label classification, and adapting to domain-specific schemas.
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) and 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
Solid understanding of DL/ML approaches used for NLP tasks
Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks.

Benefits

Comp & perks

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. 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

document understanding systemsinformation extraction pipelinesknowledge distillationknowledge graph constructionsynthetic data generationsemantic chunkingdocument classificationdeep learningNLPprogramming (Python)

Soft Skills

ability to translate complex problemsinnovative application developmentleadershipcollaborationscaling through othersquality evaluationproblem-solvingcommunication

Certifications

PhD in Computer ScienceMaster's in AI or related field