A n experienced Lead Applied Scientists with a strong track record of delivering impactful ML/NLP work. Can own the science/research aspect of a small project and confidently interact with stakeholders/experts to define scope and deliverables. Can lead a small team of scientists working on the project and define sprints/tasks/milestones. Champions best practices/ways of working. Understands engineering/deployment aspects of ML. Needs to work on wider awareness and impact beyond individual projects and with other roles (engineers/designers).
About the role
Provide granular scientific leadership, owning the research and development of ML/NLP models and pipelines from concept to delivery
Lead small to large, complex projects, including defining scope, sprints, tasks, and milestones for a team of scientists
Act as the technical lead and key point of reference on projects, ensuring high-quality research deliverables
Translate customer and stakeholder needs into clear technical requirements, and work directly with cross-functional partners
Contribute to long-term AI strategy by providing input to business stakeholders, mid-senior leadership, and Labs leadership
Develop deep knowledge of TR customers and data infrastructure across multiple products to inform solution design and shared Labs capabilities
Champion best practices, effective ways of working, and strong collaboration with engineering and design teams
About you
Experienced ML/NLP scientist with a strong track record of delivering impactful research and product outcomes.
10+ years of Experience candidates with Strong focus on NLP and Machine Learning
Able to independently own the science/research aspect of projects and confidently engage with stakeholders and subject-matter experts
Demonstrated expertise through product deliverables, published research, and/or intellectual property in one or more relevant technical areas
Proven ability to design novel ML/NLP approaches to complex business problems and contribute to broader research themes and capabilities
Solid understanding of engineering and deployment aspects of ML solutions
Recognized as a main technical point of reference and trusted advisor within project teams
Committed mentor and coach, supporting individuals with varied ML/NLP experience and helping to grow the overall capability of the team.
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