Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in USA is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing, and generative AI.
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 projects.
Communicate research in peer-reviewed publications and develop 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 experience.
5+ years hands-on experience building IR / NLP systems for commercial applications.
Experience writing production code and ensuring well-managed software delivery.
Demonstrable experience translating complex problems into successful AI applications.
Outstanding communication, problem-solving, and analysis skills.
Collaborating 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.
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.
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