Senior Applied Scientist, Search – Information Retrieval

Job not on LinkedIn

🕒 4 days ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $137.1k - $254.7k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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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

• Design, build, and deploy end-to-end neural search systems • Develop models for query understanding, document re-ranking, and retrieval quality optimization • Build evaluation frameworks using expert annotation • Drive independent technical decisions on retrieval architecture and ranking models • Partner with engineering on delivery, reliability, and scale across multiple product lines • Contribute to published research at major venues

🎯 Requirements

• PhD or Master's in Computer Science, AI, NLP, or related field • 5+ years of post-degree industry experience shipping search, retrieval, or RAG systems into production • Publications at SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR, or equivalent • Production Python and experience with PyTorch, DeepSpeed, Torchtune, or LlamaFactory • Hands-on production depth in Neural IR fundamentals: BM25, hybrid search, dense retrieval (DPR, ColBERT), bi-encoders, cross-encoders, late interaction models • Search and RAG system design: vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context optimisation, and orchestration • Evaluation framework design for retrieval quality • Deep learning and NLP fundamentals

🏖️ Benefits

• Flex My Way policies for work-life balance • Work from anywhere for up to 8 weeks per year • Career development and continuous learning programs • Comprehensive benefits including flexible vacation • Two company-wide Mental Health Days off • Access to Headspace app • Retirement savings plan • Tuition reimbursement • Employee incentive programs • Resources for mental, physical, and financial wellbeing • Optional hospital, accident, and sickness insurance • Optional life and AD&D insurance • Flexible Spending and Health Savings Accounts • Fitness reimbursement • Access to Employee Assistance Program • Group Legal Identity Theft Protection • Access to 529 Plan • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan