Senior Machine Learning Engineer at Tripadvisor | Torre

Senior Machine Learning Engineer

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Full-time
Compensation
USD170K - 220K/year
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Needham, Massachusetts, MA
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Posted about 2 years ago

Responsibilities & more


At Tripadvisor, we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. We want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science and ML Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including recommenders, computer vision, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. The Tripadvisor Data Science Team is looking for an exceptional experienced Senior Machine Learning Engineer to help lead the design and implementation of next generation systems to help our users discover, iterate, and execute on their travel plans. Our team is focused on recommendation, personalization, explanation, and enhanced user interaction across multiple business verticals including Tripadvisor Experiences, Accommodations, and Restaurants. As a Machine Learning Engineer working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, with a particular focus on recommendations, generative AI, NLP, and system design. Responsibilities: - Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, NLP, customer modeling) across all channels (e.g., Web, email, paid marketing) - Work with other teams in solving problems and identifying opportunities - Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation - Automate ETL pipelines - Prototype, evaluate, deploy and maintain new models in production - Design AB tests and analyze their results - Discover new ways to analyze and interpret the data - Communicate progress and interpretation of experimental results to technical and business stakeholders - Lead the determination of next steps for each project
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