Thomson Reuters
Senior Applied Scientist, NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeSenior
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THThomson Reuters Enterprise Centre GmbH
Lead Applied Scientist, NLP/GenAI(m/w/x)
Zug
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Leading solution development for legal document understanding, with LLM-based knowledge graph construction and synthetic data generation. 7+ years hands-on experience building/deploying document understanding systems required. Two Mental Health Days, tuition reimbursement.
Anforderungen
- PhD in Computer Science, AI, NLP, or related field, or Master's with equivalent research/industry experience
- 7+ years hands-on experience building/deploying document understanding systems, information extraction pipelines, or knowledge graph construction
- Ability to translate complex document understanding problems into AI applications
- Technical leadership, mentoring, and influence
- Strong Python programming and deep learning frameworks experience
- Publications at relevant venues (ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD)
- Deep understanding of document understanding fundamentals
- Expertise in knowledge extraction and knowledge graph construction
- Expertise in LLM-based information extraction, few-shot/multi-task learning, post-training, knowledge distillation
- Solid understanding of synthetic data generation for NLP
- Solid understanding of efficiency optimization (knowledge distillation, model compression, SLM solutions)
- Solid understanding of DL/ML approaches for NLP tasks
- Experience designing annotation workflows, creating labeled datasets, evaluation frameworks
- Prior work on legal document understanding, information extraction, knowledge representation, or legal AI applications
- Prior work handling complex legal document structures
- Experience building systems for analysis, question answering, or retrieval across large document collections
- Experience with knowledge graph frameworks and methodologies for legal/enterprise applications
- Understanding of RAG and agentic workflows for enterprise knowledge
- Experience working with AzureML or AWS SageMaker
Aufgaben
- Lead AI solution development for legal document understanding
- Oversee advanced semantic chunking for legal documents
- Oversee document enrichment systems with taxonomies
- Oversee LLM-based knowledge graph construction pipelines
- Oversee scalable synthetic data generation systems
- Act as the technical lead
- Ensure accountability for research deliverables
- Partner with engineering for reliable software delivery at scale
- Design comprehensive evaluation strategies using expert annotation
- Apply robust training methodologies balancing performance and latency
- Lead knowledge distillation for production-ready SLMs
- Maintain scientific and technical expertise
- Inform Labs capabilities and research with novel approaches
- Determine architectures balancing accuracy, efficiency, and scalability
- Decide on semantic chunking strategies
- Decide on document classification approaches
- Decide on LLM-based knowledge extraction methods
- Decide on multi-document reasoning architectures
- Advise stakeholders on long-term AI strategy
- Develop customer and data knowledge for technical roadmaps
- Collaborate with Engineering and Product on scalable solutions
- Engage stakeholders to align capabilities with business needs
- Mentor and coach team members
- Build technical capability across the organization
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- NLP
- Deep Learning
- LLMs
- Python
- PyTorch
- Hugging Face Transformers
- DeepSpeed
- SLM
- DL
- ML
- RAG
- AzureML
- AWS SageMaker
Benefits
Mehr Urlaubstage
- Flexible vacation
Mentale Gesundheitsförderung
- Two Mental Health Days
- Headspace app access
- Mental, physical, financial wellbeing resources
Betriebliche Altersvorsorge
- Retirement savings
Sonstige Zulagen
- Tuition reimbursement
Boni & Prämien
- Employee incentive programs
Sinnstiftende Arbeit
- Two paid volunteer days
Gemeinnützige Ausrichtung
- Pro-bono consulting opportunities
Fokus auf Nachhaltigkeit
- ESG initiatives
Flexibles Arbeiten
- Flexible work arrangements
- Flexible hybrid work model
Workation & Sabbatical
- Work from anywhere (8 weeks/year)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. 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.
Noch nicht perfekt?
- Thomson Reuters
Applied Scientist, NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZug - Thomson Reuters
Lead Applied Scientist - Legal Tech(m/w/x)
Vollzeitmit HomeofficeSeniorZug - Thomson Reuters
Lead Applied Scientist I(m/w/x)
Vollzeitmit HomeofficeSeniorZug - Thomson Reuters
Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
Vollzeitmit HomeofficeSeniorZug
THThomson Reuters Enterprise Centre GmbH
Lead Applied Scientist, NLP/GenAI(m/w/x)
Zug
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Leading solution development for legal document understanding, with LLM-based knowledge graph construction and synthetic data generation. 7+ years hands-on experience building/deploying document understanding systems required. Two Mental Health Days, tuition reimbursement.
Anforderungen
- PhD in Computer Science, AI, NLP, or related field, or Master's with equivalent research/industry experience
- 7+ years hands-on experience building/deploying document understanding systems, information extraction pipelines, or knowledge graph construction
- Ability to translate complex document understanding problems into AI applications
- Technical leadership, mentoring, and influence
- Strong Python programming and deep learning frameworks experience
- Publications at relevant venues (ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD)
- Deep understanding of document understanding fundamentals
- Expertise in knowledge extraction and knowledge graph construction
- Expertise in LLM-based information extraction, few-shot/multi-task learning, post-training, knowledge distillation
- Solid understanding of synthetic data generation for NLP
- Solid understanding of efficiency optimization (knowledge distillation, model compression, SLM solutions)
- Solid understanding of DL/ML approaches for NLP tasks
- Experience designing annotation workflows, creating labeled datasets, evaluation frameworks
- Prior work on legal document understanding, information extraction, knowledge representation, or legal AI applications
- Prior work handling complex legal document structures
- Experience building systems for analysis, question answering, or retrieval across large document collections
- Experience with knowledge graph frameworks and methodologies for legal/enterprise applications
- Understanding of RAG and agentic workflows for enterprise knowledge
- Experience working with AzureML or AWS SageMaker
Aufgaben
- Lead AI solution development for legal document understanding
- Oversee advanced semantic chunking for legal documents
- Oversee document enrichment systems with taxonomies
- Oversee LLM-based knowledge graph construction pipelines
- Oversee scalable synthetic data generation systems
- Act as the technical lead
- Ensure accountability for research deliverables
- Partner with engineering for reliable software delivery at scale
- Design comprehensive evaluation strategies using expert annotation
- Apply robust training methodologies balancing performance and latency
- Lead knowledge distillation for production-ready SLMs
- Maintain scientific and technical expertise
- Inform Labs capabilities and research with novel approaches
- Determine architectures balancing accuracy, efficiency, and scalability
- Decide on semantic chunking strategies
- Decide on document classification approaches
- Decide on LLM-based knowledge extraction methods
- Decide on multi-document reasoning architectures
- Advise stakeholders on long-term AI strategy
- Develop customer and data knowledge for technical roadmaps
- Collaborate with Engineering and Product on scalable solutions
- Engage stakeholders to align capabilities with business needs
- Mentor and coach team members
- Build technical capability across the organization
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- NLP
- Deep Learning
- LLMs
- Python
- PyTorch
- Hugging Face Transformers
- DeepSpeed
- SLM
- DL
- ML
- RAG
- AzureML
- AWS SageMaker
Benefits
Mehr Urlaubstage
- Flexible vacation
Mentale Gesundheitsförderung
- Two Mental Health Days
- Headspace app access
- Mental, physical, financial wellbeing resources
Betriebliche Altersvorsorge
- Retirement savings
Sonstige Zulagen
- Tuition reimbursement
Boni & Prämien
- Employee incentive programs
Sinnstiftende Arbeit
- Two paid volunteer days
Gemeinnützige Ausrichtung
- Pro-bono consulting opportunities
Fokus auf Nachhaltigkeit
- ESG initiatives
Flexibles Arbeiten
- Flexible work arrangements
- Flexible hybrid work model
Workation & Sabbatical
- Work from anywhere (8 weeks/year)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. 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.
Über das Unternehmen
Thomson Reuters Enterprise Centre GmbH
Branche
Legal
Beschreibung
The company informs the way forward by providing trusted content and technology for professionals across various sectors.
Noch nicht perfekt?
- Thomson Reuters
Senior Applied Scientist, NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeSeniorZug - Thomson Reuters
Applied Scientist, NLP/GenAI(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZug - Thomson Reuters
Lead Applied Scientist - Legal Tech(m/w/x)
Vollzeitmit HomeofficeSeniorZug - Thomson Reuters
Lead Applied Scientist I(m/w/x)
Vollzeitmit HomeofficeSeniorZug - Thomson Reuters
Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
Vollzeitmit HomeofficeSeniorZug