Senior Applied Scientist

April 2

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Thomson Reuters

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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.

Intelligent Information • Accounting • Legal • Tax • Media

10,000+ employees

Founded 2008

💸 Finance

📱 Media

☁️ SaaS

📋 Description

• Lead an applied research team throughout the full product development life cycle from ideation and PoC through to production scaling and feedback driven iteration. • Be fully accountable for all research deliverables in your projects. • Provide input to the business and Labs leadership on long-term AI strategy. • Lead and drive stakeholder engagement with other functions (Product, Engineering, Design). • Develop in-depth knowledge of customer problems and data. • Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property. • Identify state of the art technology relevant to TR products and leverage them to create value for TR customers. • Mentor and coach scientists and engineers on best practices and fostering a culture of innovation, collaboration and continuous learning.

🎯 Requirements

• PhD in a relevant discipline or master’s plus a comparable level of experience • 5+ years of hands-on experience building NLP / IR systems for commercial applications • Experience writing production code and ensuring well-managed software delivery • Demonstrable experience translating complex problems into successful AI applications • Professional experience scaling yourself and leading through others, in an applied research setting • Outstanding communication, problem-solving, and analysis skills • Experience collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback. • Solid understanding of classic ML techniques used for NLP problems • Solid understanding of DL approaches used for NLP tasks such as transformer-based models • Working understanding of inner workings of large language models • Experience working on text heavy NLP projects • Practical experience using generative AI technologies (prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, controlled generation, etc.) • Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models • Practical experience using agentic frameworks (such as LangGraph, AutoGen, Semantic Kernel, etc.) for building applications • Proficiency in Python, Git, AWS, Azure for remote model development and deployment • Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices and rapid prototyping. • Prior work on search and question answering from large corpora and/or long document summarization • Experience building applications for the legal domain, such as document review or document drafting • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues.

🏖️ Benefits

• Comprehensive benefit plans • Flexible and supportive benefits for work-life balance: flexible vacation • Two company-wide Mental Health Days Off • Work from another location for up to 8 weeks in a year • Headspace app subscription • Retirement, savings, tuition reimbursement, and employee incentive programs • Resources for mental, physical, and financial wellbeing. • Globally recognized and award-winning reputation for equality, diversity and inclusion • Flexibility, work-life balance • LinkedIn Learning access • Internal Talent Marketplace with opportunities to work on projects cross-company • Networking opportunities • Employee-driven Business Resource Groups • Two paid volunteer days annually • ESG initiatives for local and global impact.