Lead Applied Research Manager

2 months ago

Toronto, Ontario, Canada Thomson Reuters Full time
About the Role

We are seeking an exceptional Applied Research Manager to lead a cross-functional team with significant product scope. As a key member of our Labs Research Products team, you will directly influence AI strategy and the feature roadmap through ideation and rapid prototyping in close collaboration with Product and Design counterparts.

Key Responsibilities:
  • Lead: Build a high-performing team through servant leadership, setting clear expectations, modeling expected behaviors, and actively coaching. Proactively communicate with team members and stakeholders, sharing work and highlighting accomplishments.
  • Deliver: Translate complex business problems into solutions with clearly defined outcomes, breaking down complex ideas into tractable incremental milestones. Drive the end-to-end model development lifecycle, partnering effectively with a collaborative cross-functional team.
  • Innovate: Empower yourself and your team to try new approaches, learn new technologies, and take informed risks with good judgment. Foster innovative ideas to solve real-world challenges, helping lead the way in growing the understanding and adoption of AI, NLP, and IR across the enterprise.
  • Oversee multiple projects and research initiatives or lead a large project with a team of 5+ scientists.
  • Perform hands-on research and machine learning pipeline development.
  • Manage project portfolios and prioritize projects, allocating staff as needed.
  • Represent projects or Labs research work to customers.
  • Lead, manage, mentor, and coach others.
About You

You are a fit for this role if you have:

  • A PhD in a relevant discipline or Master's with a comparable level of experience.
  • At least 5 years of practical experience building NLP/IR/ML systems, from ideation to production.
  • The willingness and ability to write clean, production-ready code (in Python, mostly).
  • Experience coaching and developing a team.
  • Demonstrable experience translating complex business problems into solutions with clearly defined scope and executing on that vision with demonstrated success.
  • At least 8 years of practical experience building IR, ML, or NLP systems, with experience innovating with state-of-the-art research to solve applied, real-world problems successfully.
  • Experience in a fast-paced, agile environment managing uncertainty and ambiguity.
  • Outstanding communication and data-driven decision-making.
  • Experience delivering minimum viable products in a large enterprise environment.
  • Publications at workshops or conferences such as ACL, EMNLP, KDD, ICML, NeurIPS, SIGIR, or similar.

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