Thomson Reuters Enterprise Centre GmbH
Lead Applied Scientist, Search - NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeSenior
Zug
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
THThomson Reuters Enterprise Centre GmbH
Senior Applied Scientist, Search - NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building LLM-based knowledge graphs and document enrichment systems for legal tech. PhD or Master's with equivalent experience required. Work from anywhere up to 8 weeks per year.
Deine Match-Analyse
von deinem Karriere-Agenten
Warum dieser Job zu dir passt
Mögliche Lücken
Tipps für deine Bewerbung
Anforderungen
- PhD in Computer Science, AI, NLP, or related field, or Master's with equivalent research/industry experience
- Hands-on experience building/deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs, and NLP methods
- Ability to translate complex document understanding problems into innovative AI applications balancing accuracy and efficiency
- Professional experience scaling self and leading through others in applied research
- Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed)
- Publications at relevant venues (ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD)
- Deep understanding of document understanding fundamentals (layout analysis, semantic chunking, classification, domain adaptation)
- Expertise in knowledge extraction and knowledge graph construction (entity recognition/linking, relation extraction, citation parsing, graph building)
- Expertise in LLM-based information extraction, few-shot/multi-task learning, post-training, and knowledge distillation
- Solid understanding of synthetic data generation techniques for NLP (query-answer generation, data augmentation)
- Solid understanding of efficiency optimization (knowledge distillation, model compression, SLM-based solutions)
- Solid understanding of DL/ML approaches for NLP tasks
- Experience designing annotation workflows, creating labeled datasets, and developing evaluation frameworks for document understanding
Aufgaben
- Design, build, test, and deploy end-to-end AI solutions for document understanding
- Develop advanced models for semantic chunking of legal documents
- Build document enrichment systems for classification and metadata extraction
- Create LLM-based knowledge graph construction pipelines
- Develop scalable synthetic data generation systems
- Collaborate with engineering for software delivery and reliability
- Develop data and evaluation strategies for component and end-to-end quality
- Apply robust training and evaluation methodologies
- Apply knowledge distillation techniques to compress models
- Determine appropriate architectures for document understanding problems
- Balance accuracy, efficiency, and scalability
- Partner with Engineering and Product teams
- Understand use case requirements
- Align document understanding capabilities with business needs
- Maintain scientific and technical expertise
- Publish research at top venues
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
PythonPyTorchHugging Face TransformersDeepSpeedLLMsNLP
Benefits
Flexibles Arbeiten
- Flexible hybrid working environment
Workation & Sabbatical
- Work from anywhere up to 8 weeks per year
Mehr Urlaubstage
- Flexible vacation
Mentale Gesundheitsförderung
- Two company-wide Mental Health Days off
- Headspace app access
- Mental wellbeing resources
Betriebliche Altersvorsorge
- Retirement savings
Sonstige Zulagen
- Tuition reimbursement
- Financial wellbeing resources
Boni & Prämien
- Employee incentive programs
Gesundheits- & Fitnessangebote
- Physical wellbeing resources
Gemeinnützige Ausrichtung
- Two paid volunteer days off annually
- Pro-bono consulting project opportunities
Fokus auf Nachhaltigkeit
- Environmental, Social, and Governance (ESG) initiatives
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Thomson Reuters Enterprise Centre GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Thomson Reuters Enterprise Centre GmbHÜber das Unternehmen
TH
LegalZug
The company informs the way forward by providing trusted content and technology for professionals across various sectors.
thomsonreuters.comWie gut ist dein Lebenslauf?
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
Du hast noch keinen Lebenslauf?
Noch nicht perfekt?
- Thomson ReutersLead Software Engineer, AI(m/w/x)Vollzeitmit HomeofficeSeniorZug
- Thomson ReutersSenior Specialist Legal Editor, Corporate Law and Practice(m/w/x)Vollzeitmit HomeofficeSeniorZug
- Thomson ReutersSenior Specialist Legal Editor, Practical Law IP/IT(m/w/x)Vollzeitmit HomeofficeSeniorZug
- Thomson ReutersSenior Specialist Legal Editor, Practical Law Finance(m/w/x)Vollzeitmit HomeofficeSeniorZug