Director of Applied Research

Vaga não está no LinkedIn

🕒 Setembro 25

🗽 New York – Remoto

🗽 New York – Remote

💵 $198.200 - $368.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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Thomson Reuters

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2008

💼 Consultoria

⚖️ Jurídico

🛡️ Seguros

Consulting • Legal • Insurance

A Thomson Reuters é uma empresa global de conteúdo e tecnologia que oferece a profissionais soluções confiáveis e precisas nos setores jurídico, fiscal e de contabilidade, comércio internacional e gestão de riscos. A companhia disponibiliza um portfólio que inclui ferramentas de pesquisa jurídica, software de preparação fiscal, soluções de compliance e regulatórias, além de serviços de mídia, como a Reuters, para notícias globais. Com investimentos significativos em IA generativa, a Thomson Reuters segue inovando para ajudar profissionais a otimizar seus fluxos de trabalho e aprimorar a tomada de decisão. Suas plataformas atendem a diversos segmentos — como escritórios de advocacia, corporações, profissionais da área tributária e organizações de mídia —, fornecendo ferramentas essenciais que combinam tecnologia poderosa com conteúdo especializado aprofundado.

Descrição

• Define and drive the technical vision and strategy for AI-powered search, discovery, and knowledge systems • Set strategic direction for Information Retrieval research and innovation • Establish technical direction for retrieval, ranking, semantic search, RAG, and agentic retrieval capabilities • Design and optimize retrieval architectures using embeddings, reranking, hybrid search, knowledge graphs, and contextual retrieval • Build evaluation frameworks and benchmarks for search quality, relevance, answer quality, and business impact • Contribute to global Labs engineering strategy and methodology through emerging AI/ML technologies and best practices • Hire, train, mentor, and manage teams across cloud engineering, machine learning engineering, data engineering, and AI research • Establish best practices for production AI development and deployment • Develop team members’ technical depth in information retrieval, NLP, generative AI, and large-scale AI systems • Lead development of enterprise-grade retrieval, ranking, NLP, and knowledge-based AI solutions integrated with Thomson Reuters products • Partner with Product and Engineering teams to translate customer needs into scalable AI applications • Transfer research innovation into production systems • Apply modern software development practices from experimentation through deployment and operational excellence • Drive automation, system monitoring, MLOps, and cloud-native AI applications • Identify opportunities for AI/ML innovation and new business value • Influence project portfolio and investment decisions • Provide strategic input to product and modernization roadmaps • Translate customer problems in legal, tax, news, and corporate domains into successful AI solutions • Engage cross-functionally with technology and product leaders • Translate between research and engineering methodologies and languages • Secure alignment and clear paths to market for AI-powered initiatives

🎯 Requisitos

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a closely related field • 8+ years of industry experience building and deploying production AI systems at scale • Proven track record of taking machine learning and AI solutions from research to production-grade software with measurable business impact • Strong publication record in leading venues such as SIGIR, NeurIPS, ICLR, ACL, EMNLP, KDD, WWW, or comparable conferences • Ability to build, mentor, and manage high-performing teams of engineers and scientists • Experience leading cross-functional initiatives and influencing technical strategy across research, engineering, and product organizations • Entrepreneurial mindset with confidence in making independent decisions and driving initiatives • Exceptional communication, collaboration, and stakeholder management skills • Deep expertise in Information Retrieval, Search, Natural Language Processing, and Generative AI • Experience with semantic search, ranking algorithms, retrieval optimization, search relevance, and evaluation methodologies • Experience designing and optimizing RAG systems, grounding techniques, and answer quality assurance • Experience with agentic retrieval systems, tool-using retrieval agents, multi-step reasoning, and autonomous information discovery • Experience with NER, information extraction, question answering, and advanced language understanding • Experience with prompt engineering, fine-tuning, model evaluation, and production deployment of LLM applications • Experience designing, constructing, and leveraging knowledge graphs • Hands-on experience with Python, PyTorch, Hugging Face, and modern MLOps practices • Proficiency in AWS, Azure, or equivalent cloud platforms • Understanding of the SDLC and hands-on programming experience with Python, Java, TypeScript, or JavaScript • Preferred: experience with enterprise search, complex professional domains, hybrid search, vector databases, recommendation systems, Azure ML, Azure AI Foundry, AWS SageMaker, MLOps frameworks, containerization, DevOps, and geographically distributed teams

🏖️ Benefícios

• Flexible work arrangements, including work from anywhere for up to 8 weeks per year • Grow My Way programming and skills-first development support • Flexible vacation • Two company-wide Mental Health Days off • Headspace app access • Retirement savings • Tuition reimbursement • Employee incentive programs • Mental, physical, and financial wellbeing resources • Two paid volunteer days off annually • Pro-bono consulting and ESG initiative opportunities • Health, dental, vision, disability, and life insurance programs • 401(k) plan with company match • Sick and safe paid time off • Paid holidays, including two company mental health days • Parental leave • Sabbatical leave • Optional hospital, accident, and sickness insurance • Optional life and AD&D insurance • Flexible Spending and Health Savings Accounts • Fitness reimbursement • Employee Assistance Program • Group Legal Identity Theft Protection benefit • 529 Plan access • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan • Eligible for an Annual Bonus based on enterprise and individual performance