Senior Applied Scientist – Thomson Reuters

Title of the Job: Senior Applied Scientist

Location: Toronto, ON

Job Description: Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility.About the Role
Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters’ products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.As a Senior Applied Scientist, you will:Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.Operate in an agile way, pushing for quick iterations guided by customers’ needs.Be accountable for all research deliverables on small to medium sized projectsDevelop innovative, patentable ideas ensuring competitiveness of the company’s products and services.Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.About You
You’re a fit for the role of Senior Applied Scientist if your background includes:PhD in a relevant discipline or Master’s plus a comparable level of experience5+ years hands-on experience building IR / NLP systems for commercial applicationsExperience writing production code and ensuring well-managed software deliveryDemonstrable experience translating complex problems into successful AI applicationsOutstanding communication, problem solving, and analysis skillsCollaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback(Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.#LI-LP2What’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: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.AccessibilityAs 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.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .

Company Name: Thomson Reuters

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