Lead an applied research team through the full product development lifecycle from ideation and PoC through to production scaling and feedback-driven iteration
Be fully accountable for all research deliverables and provide input on long-term AI strategy
Lead and drive stakeholder engagement with Product, Engineering, and Design
Develop in-depth knowledge of customer problems and data and collaborate with domain experts
Leverage information retrieval techniques, prompting workflows, and model training/evaluation to build and optimize solutions
Identify state-of-the-art technology relevant to Thomson Reuters products and apply it to create customer value
Mentor and coach scientists and engineers to foster a culture of innovation, collaboration, and continuous learning
Drive AI innovation for Thomson Reuters LegalTech products and ensure alignment of AI technologies with business objectives
Requirements
PhD in a relevant discipline OR Master’s plus a comparable level of experience
7+ years of hands-on experience building NLP / IR systems for commercial applications
Experience writing production code and ensuring well-managed software delivery
Demonstrable experience translating complex problems into successful AI applications
Professional experience scaling yourself and leading through others in an applied research setting
Outstanding communication, problem-solving, and analysis skills
Experience collaborating with Product, Engineering and other business stakeholders in an agile manner