Senior Applied Scientist – Legal Tech
CAN-Toronto-19 Duncan Street, Canada
Thomson Reuters
Thomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.Senior Applied Scientist – Legal Tech
Are you passionate about developing AI systems that transform the way professionals work? Join Thomson Reuters Labs, where we experiment, build, and deliver cutting-edge solutions in machine learning, natural language processing (NLP), and generative AI.
Our flagship AI assistant, CoCounsel, is designed to streamline complex workflows for legal, tax, and business professionals. We’re seeking innovators to help expand its capabilities and impact. At Thomson Reuters Labs, we combine rigorous research with applied development to solve real-world challenges. From enhancing large language model (LLM) reasoning to creating new skills for task-specific applications, we drive impactful solutions for professionals worldwide.
About the Role
As a Senior Applied Scientist, you will:
- Innovate: Develop new skills and capabilities for CoCounsel, focusing on areas such as document summarization, legal research, contract analysis, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models.
- Build & Experiment: Design, test, and deploy state-of-the-art models that expand CoCounsel’s ability to address complex, real-world tasks.
- Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions.
- Montor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration.
- Communicate: Publish findings at top-tier conferences (e.g., NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive.
- Drive the development of AI models to expand CoCounsel’s task-specific capabilities and overall performance.
- Enhance CoCounsel’s reasoning, grounding, and responsiveness, ensuring it meets the needs of professional users.
- Conduct experiments to evaluate AI performance, focusing on reliability, ethical considerations, and user alignment.
- Work with engineering teams to deploy scalable, production-ready models and co-design ML Ops processes for monitoring and retraining.
About You
Required Qualifications:
- PhD in Computer Science, AI, or a related field, or Master’s with equivalent research/industry experience.
- 5+ years of hands-on experience building and deploying machine learning models in NLP or IR applications.
- Expertise in LLMs, including alignment, reasoning enhancement, and grounding techniques.
- Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow).
- Proven ability to translate complex problems into innovative AI applications.
Preferred Qualifications:
- Experience developing and deploying AI assistants or task-specific skills in production environments.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and distributed machine learning systems.
- Knowledge of retrieval-augmented generation, synthetic data creation, and efficient fine-tuning methods.
- Publications in top-tier ML or NLP conferences.
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What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
Wellbeing: 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 a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Classification Computer Science EMNLP Engineering GCP Generative AI Google Cloud LLMs Machine Learning ML models NeurIPS NLP PhD Python PyTorch RAG Research TensorFlow
Perks/benefits: Career development Conferences Flex hours Flex vacation Health care Transparency
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