Director of Applied Research

Job not on LinkedIn

🔥 17 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $198.2k - $368k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

💼 Consulting

⚖️ Legal

🛡️ Insurance

Consulting • Legal • Insurance

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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