Manager of Research Engineering, AI

Manager of Research Engineering, TR Labs

Are you excited about the future of AI technology? Are you passionate about delivering value and maximizing the impact of R&D investment? Thomson Reuters Labs is seeking a hands‑on engineering manager to guide the delivery of cutting‑edge AI solutions from concept to production.

At Thomson Reuters Labs, 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. Our team is responsible for AI innovation across Thomson Reuters’ Research Products, including Westlaw, Practical Law, and Checkpoint.

As Manager of Research Engineering, you are both a technical leader and a people manager. Key responsibilities include the technical direction of production services, close partnership with technology partners across the enterprise, and responsibility for the recruiting, career growth and mentorship of Labs engineers. Managers provide technical guidance on medium, yet complex projects in close collaboration with the research arm of Labs.

This role also identifies and collaboratively advocates for the adoption of industry best practices around well‑managed software delivery.

• Foster a culture of innovation, growth, and continuous improvement

• Own the delivery of business‑critical features for high value, customer facing applications

• Promote efficient collaboration between scientists and engineers on a project basis

• Operate with urgency and manage change at a rapid pace

• Coach engineering leads within the team

• A bachelor’s degree in information technology, computer science, or the equivalent. Master’s or PhD in a relevant specialization preferred.

• Minimum of 7 years' software development experience, with the demonstrated ability to successfully manage software development teams in an agile environment

• Experience spearheading technical development in a cross‑functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar.

• A portfolio showcasing significant contributions to technology innovation

• Excellent project management, organization and communication skills

• Experience contributing to and overseeing large‑scale rollouts and infrastructure initiatives.

• Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real‑time inference, microservices architecture, model monitoring and governance.

• Hybrid Work Model:
  We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.

• Flexibility & Work‑Life Balance:
  Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better 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…