OverviewAre you passionate about leveraging AI to enhance user experiences? Our Visual Content Data Science team focuses on innovative solutions that make hotel selection more intuitive and engaging for millions of users worldwide. As a Data Scientist in our team, you'll apply cutting-edge machine learning techniques to optimize our visual content strategy and drive meaningful impact across our platform. If you're excited about combining computer vision, large language models, and business impact in a dynamic environment, we'd love to have you join our team and help shape the future of travel search!How you’ll make an impactDesign and develop end-to-end machine learning solutions, from problem definition to deployment, focusing on computer vision and natural language processing for hotel imagery optimizationLeverage and fine-tune state-of-the-art AI models, including LLMs and foundation models, to enhance image understanding and content generationDrive data-driven decisions through in-depth analysis of image performance and user behavior, translating complex findings into actionable insightsCollaborate cross-functionally with product managers, engineers, and designers to implement scalable solutions that enhance our visual content platformMentor and guide team members while contributing to the development of best practices and methodologiesMonitor and optimize deployed solutions through rigorous A/B testing and performance analysisWhat you\'ll need to thriveProven experience in developing and deploying ML algorithms in production environments at scaleStrong background in computer vision, deep learning, and modern AI architecturesExpertise in working with large language models and foundation modelsExcellent programming skills in Python and familiarity with ML frameworksCapable of driving meaningful business impact through implemented ML solutionsStrong communication skills to effectively collaborate with technical and non-technical stakeholdersWorried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!Recruiting process for this roleIntroduction CallCase StudyTechnical Interview with case study presentationInterview with StakeholdersFinal Interview with LeadWhat you can look forward toAs you grow, so do we. This is why at trivago, we prioritize your development, offer personalized coaching through Likeminded, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.Moving to join us? No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and company-wide events to build experiences together.Life happens. We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heynanny platform for personalized nanny assistance, and an on-campus kids room.Enjoy your office days. Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, stay healthy with our on-site gym and sports classes, and enjoy the comfort of ergonomic desks and focused work areas.Thank you for considering a career at trivago! We are committed to fostering an inclusive and enriching environment for all talents. If any questions arise before you apply, feel free to reach out to us at joinus@trivago.com.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesInternet Publishing #J-18808-Ljbffr