Machine Learning Leader
Há 6 dias
Tripadvisor is the world's largest travel platform, and we're shaping the future of travel by applying cutting-edge machine learning techniques to a wide range of areas, including recommenders, vision, information retrieval, and natural language processing.
About the Role
We're looking for an exceptional leader to join our Machine Learning Team as an AI Team Manager. As a key member of our team, you'll be responsible for designing and building next-generation AI systems to understand our travelers and products, improving customer experience, and enhancing user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging & Knowledge Graphs, topic classification, machine translation, and more.
Key Responsibilities
- Lead and mentor a team of highly talented machine learning engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Develop and implement strategies to attract, retain, and develop top talent in the machine learning engineering field.
- Oversee the end-to-end development and deployment of machine learning models and systems, ensuring high quality, reliability, and scalability.
- Collaborate with cross-functional teams, including product managers, software engineers, and data scientists, to define project requirements, timelines, and deliverables.
- Monitor project progress, identify risks, and proactively address them to ensure successful project outcomes.
- Provide technical guidance and expertise to the team, helping to solve complex technical challenges and drive innovation in machine learning algorithms and techniques.
- Foster a culture of experimentation and exploration, encouraging the team to explore new ideas and approaches to solving problems.
- Communicate effectively with key stakeholders, including senior leadership, to provide updates on project status, solicit feedback, and align on strategic priorities.
- Act as a liaison between the machine learning engineering team and other departments, ensuring alignment and collaboration on cross-functional initiatives.
- Drive continuous improvement initiatives to optimize team processes, tools, and workflows, focusing on efficiency, scalability, and quality.
- Foster a culture of data-driven decision-making, leveraging metrics and analytics to measure performance, identify areas for improvement, and drive actionable insights.
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