We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.The Tripadvisor Data Science Team is looking for an exceptional experienced Senior Machine Learning Engineer who specialises in NLP to help lead the design and building next generation systems that model how travelers interact with the various products on the site. Such a model will allow a significant improvement in our ability to offer to travelers the broadest, most relevant travel products (e.g., tell me the most family-friendly summertime activities in Paris). This individual will also have the opportunity to lead other projects on the team, including those related to text and image processing.
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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, vision, text processing, 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. Have a great time while shaping the future of travel!What You Will Be Doing:Seek out new opportunities to apply data science and machine learning to the business (e.g., mainly NLP but also some work with personalized recommendations, performance marketing, customer modeling) across all channels (e.g., Web, email, paid marketing)Has experience working with other teams in solving problems and identifying opportunitiesLead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivationAutomate ETL pipelinesPrototype, evaluate, deploy and maintain new models in productionDesign AB tests and analyze their resultsDiscover new ways to analyze and interpret the dataCommunicate progress and interpretation of experimental results to technical and business stakeholdersLead the determination of next steps for each project.What You Are Like:Team playerLoves to learnGreat communication skills with both technical and non-technical partnersGets things done on time and on specificationCan work independently.Qualifications:PhD or Masters in Computer Science, Engineering, Statistics, or related field preferredExperience with Natural Language ProcessingStrong background in machine learning and statisticsSolid foundation on data structures and algorithmsStrong software engineering skillsProficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)Ability to write complex SQL queriesExperience with big data technologies, such as Hive and SparkKnowledge of AB test design and analysisTrack record of leading the deployment and maintenance of models3 years of relevant, practical experience.Nice to Haves:Experience with Deep learningExperience with online businesses.What you’ll getHighly competitive salary along with the followingAnnual performance related bonusGenerous stock (RSU) award upon joining, with additional awards annuallyRegular salary reviews and excellent career growth opportunitiesVery flexible working hoursSummer flexible work scheduleDaily meal allowanceFull family private healthcare and dentalExcellent contributory pensionCritical illness and full life coverStandard 20 days paid holiday rising to 22 in 2nd year (not including bank holidays, time off over Christmas and summer flexible work schedule)€1,104 annual stipend for costs outside the office such as gym membership or home office set up.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 make sure to reach out to your individual recruiter or our team atgreenhouse@tripadvisor.com.#LI-AMCVAY#LI-Remote#LI-Hybrid
