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About the Role
">We are seeking a highly skilled Machine Learning Engineer I to join our Tripadvisor Experiences team. As a Machine Learning Engineer I, you will be responsible for designing and deploying machine learning models to solve various core business problems across the Experiences business.
">Your Responsibilities
">You will participate in the design and deployment of machine learning models, prototype and evaluate new models, communicate progress and interpretation of model output/performance to technical and business stakeholders. You will also seek out new opportunities to apply data science and machine learning in the Experiences space.
">What You Are Like
">We are looking for a team player who loves to learn, gets things done on time and on specification. A Master's degree in Computer Science, Engineering, Statistics, or related quantitative field is required. Excellent communication skills for both technical and non-technical audiences are necessary. Strong foundation in machine learning and statistics, solid foundation on data structures and algorithms, and proficiency in Python are also required.
">Benefits
">We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please reach out to your individual recruiter or our team.
">Company Overview
">Tripadvisor Llc is the web's leading travel information site. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, and natural language processing.
">About Machine Learning at Tripadvisor
">We create systems that influence the travel decisions of millions of people per day. To ensure continued success, we promote a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences.
">Why Join Us?
">You'll have the opportunity to work with a broad multidisciplinary team, including other ML scientists, analysts, product managers, and engineers to build ML powered solutions and get them on the website to solve user problems. You'll also be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business.
">Location
">Please note, this position will be either office, hybrid or remote-based, within Portugal.
