Lead Applied Scientist

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $140k - $175k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 0%

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

⚖️ Legal

📋 Compliance

🤝 B2B

Legal • Compliance • B2B

Thomson Reuters is a global provider of information, software and services for legal, tax, accounting, risk and government professionals. Its product portfolio (from the provided text) includes legal research and drafting platforms like Westlaw, Practical Law and CoCounsel AI, tax and audit solutions such as ONESOURCE and CoCounsel Tax, trade and compliance tools, and investigative and public-records products under CLEAR. Thomson Reuters combines authoritative content (law books, tax guidance) with SaaS platforms, AI-driven workflows, and APIs to help law firms, corporations, governments and accounting firms perform research, manage matters, ensure compliance, and detect risk and fraud.

📋 Description

• Lead an applied research team throughout the full product development life cycle from ideation and proof of concept through production scaling and feedback-driven iteration • Be fully accountable for research deliverables across projects • Lead and drive stakeholder engagement with Product, Engineering, subject-matter experts, and Design • Develop in-depth knowledge of customer problems and data • Maintain scientific and technical expertise through product deliverables, published research, and intellectual property • Identify state-of-the-art technology relevant to Thomson Reuters products and leverage it to create customer value • Provide input to the business and Labs leadership on long-term AI strategy • Mentor and coach scientists and engineers on best practices and foster innovation, collaboration, and continuous learning • Design and deliver AI solutions using NLP, information retrieval, machine learning, and generative AI • Use information retrieval techniques, prompting workflows, model training, and evaluation design to build and optimize solutions

🎯 Requirements

• PhD in a relevant discipline or master’s plus a comparable level of experience • 7+ 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 • Staying up to date with the latest research and emerging technology for generative AI for NLP and IR • Experience collaborating with Product, Engineering and other business stakeholders in an agile manner • 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 curating and optimizing datasets for evaluation of ML and LLM-based solutions, including AutoEval methods • Practical experience using generative AI technologies, including prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, and controlled generation • 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 PydanticAI, LangGraph, AutoGen, and Semantic Kernel • Proficiency in Python, Git, AWS, and Azure for remote model development and deployment • Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices, and rapid prototyping • Preferred: prior experience working on legal AI systems or solutions interacting with long documents • Preferred: experience building applications for the legal domain • Preferred: knowledge in legal, compliance, or regulatory domains; law degree (J.D.); paralegal experience • Preferred: publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD, or similar • Preferred: knowledge of MLOps and the end-to-end lifecycle of software applications involving AI models

🏖️ Benefits

• Work from anywhere for up to 8 weeks per year • Flexible vacation • Two company-wide Mental Health Days off • Access to the Headspace app • Retirement savings • Tuition reimbursement • Employee incentive programs • Resources for mental, physical, and financial wellbeing • Two paid volunteer days off annually • Opportunities to get involved with pro-bono consulting projects and ESG initiatives • Flexible work arrangements • Career development and continuous learning through Grow My Way programming • Supportive workplace policies through Flex My Way