{"active":true,"apply_url":"https://careers.trivago.com/apply/8464320002.?gh_jid=8464320002","company":{"claimed":false,"name":"trivago","slug":"trivago","website":"https://www.trivago.com"},"countries":["DE"],"employment_type":null,"first_seen_at":"2026-10-15T12:24:52Z","getwork_url":"https://getwork.dev/jobs/gh-trivago-8464320002/","id":"gh-trivago-8464320002","injection_flag":false,"last_seen_at":"2026-10-28T20:30:09Z","location":"Düsseldorf; trivago (Düsseldorf)","published_at":"2026-03-18T11:15:06Z","regions":["europe"],"remote":"onsite","role_family":"data","salary":null,"seniority":"unspecified","stack":[],"stack_mentioned":["python","gcp","pytorch"],"title":"Data Scientist - AI Search & Ranking","untrusted_description":"When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!\n\nJoin us in making a difference\n\nEvery day, millions of travelers come to trivago with a simple question: where should I stay? Our answer is a ranked list of hotels, assembled in real time across 55 countries and 35 languages, under strict latency and robustness constraints.\n\nWe're building the next generation of search capabilities on top of trivago's existing platform — adding query understanding, semantic retrieval, intelligent ranking, and personalisation to a system that already serves millions of travelers daily.\n\nIn this role, you will be building a system that handles ambiguous user intent, retrieves the right candidates from millions of hotels, ranks them accurately, and moves measurable business outcomes in production. You will work across three interconnected problem spaces:\n\n-\nQuery & Intent Understanding: Travelers don't write database queries — they type fragments, use negation, and search for experiences. You will build systems that extract structured meaning from free-text queries across 35+ languages, balance hard constraints with semantic intent, and handle everything from simple city searches to complex multi-constraint natural language queries.\n\n-\nRetrieval & Ranking: From candidate generation to neural reranking, you will design systems that balance recall, precision, and latency — close the gap between offline metrics and live conversion, address data bias in behavioural training signals, and personalise results based on in-session and long-term user behaviour.\n\n-\nTwo-Sided Marketplace: trivago connects travelers with hotels through a marketplace of advertisers. The same hotel appears with different prices from different partners. You will build models that balance user relevance with commercial value — and measure both.\n\nTraditional ML, deep learning, and language models all have a place here — your role is knowing when to use each one for real business results.\n\nHow you'll make an impact:\n\n-\nOwn components end-to-end — from problem framing through to production deployment and business impact.\n\n-\nBuild and improve query understanding — intent classification, named entity recognition, slot filling, and semantic interpretation across 35+ languages.\n\n-\nDesign retrieval systems — candidate generation, dense and hybrid retrieval, and the recall-versus-latency trade-off at query time.\n\n-\nDevelop ranking and personalisation models — from training data construction and debiasing through to A/B testing and conversion impact — using both short-term in-session signals and long-term user behaviour.\n\n-\nApply and fine-tune language models where they improve the system — result explanation, query rewriting, and agentic approaches for complex and underspecified queries — with clear judgment on latency, cost, and quality trade-offs.\n\n-\nDesign offline and online evaluation frameworks — relevance judgement pipelines, cold-start evaluation, and retrieval and ranking quality metrics.\n\nWhat you'll need to thrive:\n\n-\n5+ years building and shipping search, ranking, or recommendation systems in production — Master's or PhD preferred, or equivalent demonstrated expertise.\n\n-\nDeep theoretical knowledge and hands-on experience in at least one of: Learning-to-Rank, retrieval and candidate generation, query understanding and NLP, two-tower architectures, or personalisation — and working knowledge of the others.\n\n-\nExperience fine-tuning and distilling transformer models for production — building efficient solutions optimised for real-world scale and latency.\n\n-\nSolid foundation in experimentation — A/B test design, bias awareness, guardrail metrics, and connecting offline quality to online business outcomes.\n\n-\nStrong Python and SQL; hands-on with PyTorch or HuggingFace; familiarity with vector search infrastructure, cloud ML pipelines (Vertex AI, Airflow), and GCP.\n\n-\nClear communicator, entrepreneurial drive, collaborative mentor, and motivation to make progress in ambiguous problem spaces.\n\n-\nOutcome-driven: you care about the business impact of your work, not only the sophistication of the model or methodology.\n\n-\nHands-on, outcome driven and analytically rigorous — you take ownership end to end, build with quality in mind, and bring academic or professional rigour into real production environments.\n\n-\nA learning and performance mindset — you set ambitious goals, seek feedback, stay curious, and actively explore how AI tools can enhance your work.\n\nNice to have\n\n-\nExperience in travel, e-commerce, or two-sided marketplace search.\n\n-\nFamiliarity with marketplace dynamics and how advertiser signals interact with relevance ranking.\n\n-\nMultilingual retrieval experience.\n\n-\nPublished research in information retrieval, ranking, or NLP — SIGIR, RecSys, WWW, or KDD.\n\nNot ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future. Your application does not need to include a photo. This is the recruitment process that you can expect for this role (subject to modifications):\n\n-\nOne way interview — 10 min\n\n- Introduction Call with Hiring Manager\n\n-\nTechnical interview — 90 min, system design on a real problem\n\n-\nCollaboration Interview — 60 min\n\n-\nPotential Final interview — 30 min with team lead\n\n- Profile Dynamics Assessment\n\nWant to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor.\n\nWhat you can look forward to:\n\nAt trivago, you'll work with petabytes of real travel data, modern ML infrastructure, and a team that values technical depth and continuous learning — here's what else you can expect:\n\nReal scale, real ownership. You'll work with petabytes of live travel data in production systems — and because our teams are lean, your scope is meaningful from day one.\n\nWork that sits at the core of the product. DS&A at trivago is not a support function: your models and analyses directly shape the marketplace outcomes that matter to travelers and to the business.\n\nMeasured on impact, not sophistication. You own your work end-to-end and are evaluated on the outcomes you drive — not on the complexity of the methodology behind them.\n\nAs you grow, so do we. This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.\n\nEnjoy 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, choose from a variety of fitness options with our on-site gym, sports classes, and Urban Sports Club membership, and enjoy the comfort of ergonomic desks and focused work areas.\n\nMoving 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 many company-wide events to build experiences together.\n\nLife happens. We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year. You also get free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.\n\n#LI-DNI\nThank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at joinus@trivago.com. Join us in our mission to make a positive impact on global travel, we look forward to your application!\n\n#LI-Hybrid","url":"https://careers.trivago.com/apply/8464320002.?gh_jid=8464320002"}