Senior Applied Scientist, NLP/KG/GenAI
- Published on
About the Role
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing, and generative AI.
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.
- 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.
- Support and coach junior scientists by providing advice, mentoring, and training.
- Be an NLP expert.
About the Candidate (Expectations and Nice to Have Skills)
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 of hands-on experience building NLP / ML / Knowledge Graph / GenAI systems for commercial applications.
- Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks).
- 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.
- Excellent coding skills in Python.
- Proficiency with Git, AWS, Azure for remote model development and deployment.
About the Company
Thomson Reuters Labs experiments, builds, and delivers solutions that enhance core Risk and Fraud products, supporting the organization and customers through applied research in natural language processing and machine learning. They aim to design a new generation of risk and fraud investigation software, focusing on AI innovation for Thomson Reuters' core products.
Company Culture and Benefits
- Hybrid Work Model: A flexible work environment with 2-3 days in the office, facilitating a connected experience.
- Flexibility & Work-Life Balance: Supportive workplace policies, including work-from-anywhere for up to 8 weeks per year, fostering a better personal and professional balance.
- Career Development and Growth: Commitment to continuous learning and skill development to tackle future challenges.
- Industry Competitive Benefits: Comprehensive plans including flexible vacation, mental health days off, access to wellness resources, and retirement savings.
- Social Impact: Opportunities to engage in community involvement and various social initiatives.
Closing Statement
Thomson Reuters is powered by the talents of 26,000 employees globally, dedicated to pursuing objectivity, accuracy, fairness, and transparency. Join them to help shape the industries that drive society forward.