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Thomson Reuters
Thomson Reuters
Sponsor pentru viza H1BAsigurăriConsultanțăJuridic
Thomson Reuters dezvoltă conținut, date și tehnologii de încredere pentru profesioniștii care lucrează în servicii juridice, fiscalitate și contabilitate, comerț internațional, gestionarea riscurilor, asigurări, consultanță și știri globale. Portofoliul său include platforme de cercetare juridică, software pentru fiscalitate și contabilitate, instrumente de conformitate și reglementare, precum și servicii media Reuters. Combinând expertiza de specialitate cu investițiile în inteligența artificială generativă, Thomson Reuters ajută firmele de avocatură, corporațiile, profesioniștii din domeniul fiscal și organizațiile media să gestioneze informații complexe, să eficientizeze fluxurile de lucru și să ia decizii mai bine fundamentate.
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Locurile de muncă ale companiei

Director, Model Research and Development — Zug, Switzerland (Hybrid)

Lead Thomson Reuters’ LLM post-training, reinforcement learning, and data strategy. Develop reliable AI models for legal, tax, and other regulated professional workflows.

CHElvețiaHibridNormă întreagăLiderLimbă Obligatorie: englezăDirector

Descriere

  • Provide technical leadership for the model research program
  • Advance post-training and data strategies for accurate, calibrated, and trustworthy models used in professional workflows
  • Direct hands-on post-training of Thomson Reuters’ LLMs through supervised fine-tuning, preference optimization, and reinforcement learning
  • Build and operate online, agentic reinforcement-learning pipelines with subject-matter experts involved
  • Direct data selection, mixture optimization, synthetic-data creation, and evaluation design
  • Track training runs, detect issues early, and define appropriate corrective measures
  • Partner daily with infrastructure and evaluation teams to sustain dependable training and assessment pipelines
  • Present research findings and recommendations to guide roadmap and prioritization decisions
  • Contribute to experiments, training and evaluation pipelines, and research papers for leading conferences
  • Report to the Vice President of Model Research & Development

Cerințe

  • Demonstrated expertise in supervised fine-tuning, preference optimization such as DPO, and reinforcement learning, including agentic multi-step reinforcement learning for tool use and task completion
  • Practical experience defining data selection, mixture design, synthetic-data generation, and evaluation approaches, with measured impact on model behavior
  • Strong hands-on expertise in distributed training, data pipelines, and evaluation infrastructure, including the ability to build and troubleshoot these systems
  • Record of shipped models, broadly adopted open-source work, or peer-reviewed publications at leading venues such as NeurIPS, ICML, ACL, or EMNLP
  • Experience leading a focused technical team responsible for training and/or evaluation
  • Experience applying LLMs in law, tax, or a similarly regulated professional field preferred
  • Experience with continued pre-training and domain adaptation for large base models preferred
  • Experience in model safety, adversarial robustness, and red-teaming preferred

Beneficii

  • Flexible hybrid work arrangements for office-based roles
  • Up to eight weeks of working from anywhere each year
  • Flexible vacation policy
  • Two company-wide Mental Health Days annually
  • Access to the Headspace app
  • Retirement savings program
  • Tuition reimbursement
  • Employee incentive programs
  • Resources supporting mental, physical, and financial wellbeing
  • Two paid volunteer days each year
  • Opportunities to join pro bono consulting projects and ESG initiatives
  • Career development, ongoing learning, and skills training through Grow My Way
  • Flexible workplace policies designed to support work-life balance
  • Employee inclusion, belonging, and social impact programs

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