This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Manager AI and Applied ResearchAre you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI, to lead a team of high performing ML scientists and research engineers.
About the role In this opportunity as
Manager, Applied Research you will:
- Manage: Direct the efforts of a team of Applied Scientists and Research Engineers, ensuring a high-performance culture. Nurture your team's career development and manage performance expectations through servant leadership and active coaching.
- Lead and Inspire: Build, mentor, and grow a high-performing team of applied scientists
- Drive Research to Production: Translate state-of-the-art AI research into scalable, production-ready solutions.
- Shape Strategy: Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
- Ensure Operational Excellence: Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation
- Champion Innovation: Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.
About you You're a fit for the role of
Manager, Applied Research if your background includes:
- PhD in a relevant discipline or Master's plus a comparable level of experience
- 8+ years hands-on experience building IR / NLP systems for commercial applications
- Strong experience in GenAI/Rag/LLM
- Prior management experience - coaching & developing high-performing teams
- Strong track record of delivering AI solutions at scale in enterprise environments.
- Ability to influence senior stakeholders and align AI initiatives with business goals
- Experience delivering minimum viable products in a large enterprise environment
- Demonstrable experience translating complex problems into successful AI applications
- Experience writing production code and ensuring well-managed software delivery
- 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.
- Outstanding communication, problem solving, and analysis skills
Preferred qualifications
- Experience innovating state-of-the-art research to solve real-world problems.
- Experience designing and implementing solutions with large language models
- Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
- Advanced proficiency in Python, Java, or Scala
#LI-ES1
What's in it For You?- 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 live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally 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.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role
