Lead Applied Scientist, Search & Information Retrieval

Job not on LinkedIn

🔥 16 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🗽 New York – Remote

🗽 New York – Remote

💵 $147.6k - $274.2k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Own the design, development, and production deployment of large-scale search and information retrieval systems powering Westlaw, Practical Law, CoCounsel, and next-generation Thomson Reuters search experiences • Design and deploy search architectures for large-scale legal, tax, and enterprise content collections • Build and optimize ingestion pipelines that analyze, enrich, and prepare documents for retrieval • Develop ranking and re-ranking systems using traditional information retrieval techniques and modern LLM-based approaches • Improve retrieval quality through semantic retrieval, hybrid retrieval, query understanding, and relevance optimization • Design evaluation frameworks for retrieval performance, relevance, ranking quality, and end-user outcomes • Lead technical decisions around indexing strategies, retrieval architectures, ranking models, and search infrastructure • Partner with engineering teams to deliver scalable, reliable, and performant search services • Contribute to self-service search platform capabilities used by internal product teams • Provide technical input to senior leadership on search, retrieval, and AI strategy • Mentor applied scientists and machine learning practitioners across the organization • Publish research and measure success through shipped, production-performing systems

🎯 Requirements

• PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a related field preferred • 8+ years of industry experience building production search, information retrieval, ranking, or recommendation systems • Publications at SIGIR, ACL, EMNLP, NeurIPS, ICLR, KDD, WWW, or equivalent venues • Strong production Python skills • Experience with PyTorch, Hugging Face Transformers, and distributed model development • Knowledge of search engine architecture, indexing systems, and ingestion pipelines • Experience building ranking and re-ranking systems • Knowledge of information retrieval, semantic retrieval, hybrid retrieval, and vector search architectures • Knowledge of query understanding, relevance optimization, and search evaluation methodologies • Experience with retrieval systems supporting large collections of text-rich content • Experience with LLM-enhanced retrieval, RAG architectures, and retrieval optimization • Experience with end-to-end measurement and evaluation of search quality and user outcomes • Experience with legal, regulatory, tax, scientific, or other text-heavy domains preferred • Experience building retrieval systems over large enterprise knowledge repositories preferred • Experience with Elasticsearch, OpenSearch, Solr, Vespa, or similar search technologies preferred • API platform development and self-service search platforms experience preferred • Experience with agentic AI systems incorporating retrieval capabilities preferred • Experience with AzureML or AWS SageMaker preferred • Experience building systems combining search, retrieval, and document understanding capabilities preferred

🏖️ Benefits

• Flexible work arrangements, including work from anywhere for up to 8 weeks per year • Flexible vacation • Two company-wide Mental Health Days off • Headspace app access • Retirement savings • Tuition reimbursement • Employee incentive programs • Resources for mental, physical, and financial wellbeing • Two paid volunteer days off annually • Comprehensive health, dental, vision, disability, and life insurance programs (United States) • 401k plan with company match (United States) • Sick and safe paid time off • Paid holidays • Parental leave • Sabbatical leave • 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 • Potential eligibility for an Annual Bonus based on enterprise and individual performance