Lead Applied Scientist
3 weeks ago
Lead Applied Scientist Thomson Reuters is seeking a Lead Applied Scientist. This is where emergent intelligence meets real‑world impact. You'll work at the cutting edge of GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, understand multiple modalities, and personalize themselves to individual users and evolving contexts. Your work will transform how millions of legal, tax, and compliance professionals interact with information—not through static tools, but through intelligent agents that understand their domain, anticipate their needs, and evolve with their workflows. About the Role Design and deploy neuro‑symbolic AI systems that seamlessly integrate neural learning with structured knowledge representation and ontologies Build multi‑modal models that synthesize insights across text, documents, structured data, and domain‑specific artifacts Explore the emergent intelligence at the intersection of GenAI and machine learning agents, creating autonomous systems that reason and act Develop adaptive domain‑specific reasoning capabilities that understand the nuances of legal, regulatory, and financial contexts Own and lead end‑to‑end research deliverables—from ideation and experimentation to production deployment Establish comprehensive AI evaluation frameworks, quality assessment methodologies, and observability systems that ensure reliability, fairness, and transparency Leverage advanced information retrieval techniques, prompting workflows, and model training strategies to optimize solutions Shape long‑term AI strategy by providing strategic input to business and Labs leadership Champion AI personalization and continual learning approaches that make products smarter with every interaction Lead stakeholder engagement across UX, Product, and Engineering teams to align AI capabilities with user needs Develop in‑depth knowledge of customer problems and data Mentor scientists and engineers on best practices in applied AI research and production ML systems Build expertise in knowledge representation, domain reasoning, and agentic AI architectures Foster a culture that balances scientific rigor with pragmatic delivery and customer value About You PhD in Computer Science, Machine Learning, AI, or related field (or Master’s with equivalent depth of experience) 7+ years building production IR/NLP systems for commercial applications with demonstrated business impact Strong software engineering capabilities with experience in production code, MLOps, and managed delivery pipelines Proven track record translating complex, ambiguous problems into successful AI applications Proficiency in AI evaluation, quality assessment, and observability for production systems Neuro‑symbolic AI architectures that combine learning and reasoning Expertise in multi‑modal modeling across diverse data types and representation formats Hands‑on experience with knowledge representation, ontologies, and semantic reasoning systems Track record implementing AI personalization and continual learning that adapts to user behavior and feedback Experience with adaptive domain‑specific reasoning in specialized professional contexts Familiarity with emergent intelligence at the intersection of GenAI and machine learning agents—including agentic frameworks, tool use, and autonomous decision‑making Demonstrated ability to scale impact through others in applied research or advanced development settings Outstanding communication skills—you translate complex technical concepts for diverse audiences Proven success collaborating with Product, Engineering, and Business stakeholders in agile environments Strong problem‑solving and analytical thinking with a bias toward action and iteration #LI-ES1 What’s in it For You? Flexibility & Work‑Life Balance: Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real‑world solutions. Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real‑World Impact: We are one of the few companies globally 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. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. 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. 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. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. #J-18808-Ljbffr
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Lead Applied Scientist
2 weeks ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Refinitiv Full time# **Our Privacy Statement & Cookie Policy****Lead Applied Scientist**Thomson Reuters is seeking a Lead Applied Scientist. This is where emergent intelligence meets real-world impact. You'll work at the cutting edge of GenAI and machine learning agents, building systems that combine neural and symbolic reasoning, understand multiple modalities, and...
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Staff Applied Scientist
1 week ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Loopio Full timeJoin to apply for the Staff Applied Scientist role at Loopio Get AI-powered advice on this job and more exclusive features. Take your career to new heights with Loopio! 🚀✨ We are looking for an accomplished Staff Applied Scientist to join the Library team within ProductOrg, leading the design and delivery of ML‑driven capabilities that power the heart...
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Applied Scientist
2 weeks ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Bía Neuroscience Full timeJoin to apply for the Applied Scientist - Neurotech & ML role at Bía Neuroscience Get AI-powered advice on this job and more exclusive features. This range is provided by Bía Neuroscience. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range CA$100,000.00/yr - CA$130,000.00/yr On a mission...
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Senior/Staff Applied Machine Learning Scientist
2 weeks ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada StackAdapt Full timeSenior/Staff Applied Machine Learning Scientist Join to apply for the Senior/Staff Applied Machine Learning Scientist role at StackAdapt. StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered StackAdapt Marketing...
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Applied Scientist
2 weeks ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Bía Neuroscience Full timeA cutting-edge neuroscience startup in Canada is seeking an experienced Applied Scientist in Neurotech & ML to lead machine learning implementation within data analysis. The role demands strong experience in biomedical signal processing, with an opportunity to revolutionize sleep solutions. Candidates should possess a degree in a related field and at least 5...
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Senior Applied AI Scientist
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Lead Data Science Scientist
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Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Mercor Full timeLead Data Science Scientist Join to apply for the Lead Data Science Scientist role at Mercor. 1 day ago Be among the first 25 applicants. Base Pay Range $60.00/hr - $100.00/hr About the Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst,...
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Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Victoria, Surrey, Halton Hills, London, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada StackAdapt Full timeA leading technology company is seeking a Senior/Staff Applied Machine Learning Scientist to lead the development of advanced machine learning algorithms and drive innovative testing in a collaborative environment. The ideal candidate has over 3 years of industry experience and a Masters or PhD in a relevant field. This full-time position is remote-friendly...
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Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Victoria, Surrey, Halton Hills, London, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada StackAdapt Full timeA leading technology company is seeking a Senior/Staff Applied Machine Learning Scientist to enhance ML algorithms and model deployment. This role involves leading innovative algorithms, testing, and optimizations in a collaborative remote setting. Candidates should have a Masters or PhD in a relevant field and 3+ years of experience. The company offers...
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Senior/Staff Applied Machine Learning Scientist
4 weeks ago
Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Victoria, Surrey, Halton Hills, London, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada StackAdapt Full timeSenior/Staff Applied Machine Learning Scientist StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across...