Director, Applied Research

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🕒 il y a 1 mois

🗽 New York – Distant

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💵 $198 200 - $368 000 / an

⏰ Temps Plein

🔴 Expert

👔 Directeur

🦅 Parrain de Visa H1B

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👻 Score fantôme 19%

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🗣️🇺🇸🇬🇧 Anglais requis

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Thomson Reuters

10 000+ employés

Fondée en 2008

💼 Conseil

⚖️ Juridique

🛡️ Assurance

Consulting • Legal • Insurance

Thomson Reuters est une entreprise mondiale de contenu et de technologie qui fournit aux professionnels des solutions fiables et précises dans les secteurs juridiques, fiscaux et comptables, du commerce international et de la gestion des risques. L'entreprise propose une gamme de produits incluant des outils de recherche juridique, des logiciels de préparation fiscale, des solutions de conformité et de régulation, ainsi que des services média tels que Reuters pour les nouvelles mondiales. Avec des investissements significatifs dans l'IA générative, Thomson Reuters continue d'innover pour aider les professionnels à optimiser leurs flux de travail et améliorer leur prise de décision. Leurs plateformes desservent diverses industries telles que les cabinets d'avocats, les entreprises, les professionnels de la fiscalité, et les organisations médiatiques, en fournissant des outils essentiels qui combinent une technologie puissante avec un contenu d'expert approfondi.

Description

• Lead and develop a high-performing applied science team focused on agentic AI solutions for tax and accounting professionals • Drive the design, development, and delivery of AI features that reimagine customer workflows in high-stakes, accuracy-critical settings • Set technical direction for applied research initiatives while balancing scientific rigor, customer value, product feasibility, and delivery timelines • Partner with product engineering teams to transition research innovations into scalable, reliable, production-ready capabilities • Advise Labs leadership, product leadership, and business stakeholders on long-term AI strategy, external partnerships, and capability roadmaps • Influence product strategy using product usage data, quality metrics, evaluations, and customer feedback • Develop approaches for LLM-based systems, agentic workflows, information retrieval, document understanding, knowledge representation, and AI evaluation • Ensure AI systems include appropriate accuracy, verification, observability, safety, and quality controls • Engage tax, audit, accounting, and other subject-matter experts in concept development, design workshops, experimentation, and solution validation • Improve ways of working across R&D and product engineering • Foster innovation, rigor, collaboration, technical excellence, and continuous learning • Represent TR Labs and the tax technology organization in technical forums, cross-functional initiatives, and external research communities

🎯 Exigences

• PhD in Computer Science, Machine Learning, or a closely related field; or a Master's degree with equivalent depth, a strong scientific background, and a relevant publication record • 10+ years of hands-on industry experience building AI and machine learning systems for commercial applications; research-only experience is not sufficient • Recent, direct hands-on experience developing LLM-based and agentic AI systems for production, non-trivial use cases • 5+ years of experience managing and developing high-performing applied science, machine learning, or AI research teams • Demonstrated success in product-facing or customer-facing roles, with measurable business and customer impact • Technical depth in AI and machine learning sufficient to guide high-quality technical decisions and establish effective research direction • Strong expertise in information retrieval and natural language processing, particularly in complex vertical domains • Experience with taxonomy induction, document understanding, agentic search, knowledge graphs, neuro-symbolic AI, or comparable approaches • Experience evaluating AI agents and language-model-based systems, including verifiable rewards, synthetic data generation, and rigorous quality measurement • Relevant publication record, including publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or equivalent venues • Experience building AI solutions for tax, legal, audit, accounting, or other highly regulated and knowledge-intensive domains • Track record of growth and leadership at top-tier technology companies, high-growth startups, or similarly demanding environments • Strong communication and influencing skills • Passion for developing people, building strong teams, and creating an inclusive, high-performing culture

🏖️ Avantages

• Work from anywhere for up to 8 weeks per year • 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 • Two paid volunteer days off annually • Health, dental, vision, disability, and life insurance programs • Competitive 401k plan with company match • Competitive vacation, sick and safe paid time off • Paid holidays, including two company mental health days off • Parental leave • Sabbatical leave • Optional hospital, accident and sickness insurance paid 100% by the employee • Optional life and AD&D insurance paid 100% by the employee • Flexible Spending and Health Savings Accounts • Fitness reimbursement • Employee Assistance Program • Group Legal Identity Theft Protection benefit paid 100% by employee • 529 Plan • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan • Annual Bonus based on a combination of enterprise and individual performance

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