Machine Learning Scientist I - Experiences
Needham, US. London, UK. Lisbon, Portugal.
Applications have closed
TripAdvisor
Plan your next trip, read reviews and get travel advice from our community on where to stay and what to do. Find savings on hotels, book the perfect tour or attraction, and reserve a table at the best restaurants.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 Machine Learning Team is looking for an exceptional Machine Learning Scientist to contribute to building next generation systems to help our users discover the perfect tours and activities for their next trip. This role sits at the intersection of our Experiences ML team and our Trip Planning team. Our Experiences vertical provides customers with a collection of over 300K bookable products - experiences like glacier hikes in Alaska, guided walking tours in Lisbon, and swimming with pigs in the Bahamas - as well as providing users the opportunity to research hundreds of thousands of destinations and attractions around the world. Our Trip Planning 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 Scientist 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, and NLP.
We are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers.
About Machine Learning at Tripadvisor:
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. Have a great time while shaping the future of travel!
What You Will Be Doing:
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Participating in the design of machine learning models to solve a variety of core business problems across the Experiences business, with a focus on recommendations and generative AI.
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Seek out new opportunities to apply data science and machine learning in the Experiences space.
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Prototype, evaluate, deploy and maintain new models in production
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Design AB tests and analyze their results
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Discover new ways to analyze and interpret the data
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Communicate progress and interpretation of experimental results to technical and business stakeholders
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Participate in the determination of next steps for each project
Skills & Experience:
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Masters in Computer Science, Engineering, Statistics, or related field preferred
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Strong foundation in machine learning and statistics
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Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
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Ability to interpret and write complex SQL queries
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Experience with big data technologies, such as Hive and Spark
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Exposure to tools for the deployment and maintenance of models - e.g. Kubernetes, MLflow, AWS, etc.
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request. Please include the job requisition number in your message.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Computer Vision Engineering Generative AI Kubernetes Machine Learning MLFlow ML models NLP NumPy Pandas Python Research Scikit-learn Spark SQL Statistics
Perks/benefits: Career development Conferences Team events
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