Careers at trivago

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! Join us in making a difference Our Content Data Science team builds innovative solutions that make hotel discovery engaging for millions of travelers worldwide, helping them make fast and informed decisions on where to stay. As a Data Scientist in the Visual & AI Content team, you'll leverage your expertise in NLP and large language models to transform how travelers discover and understand hotel content. This is your opportunity to apply cutting-edge AI techniques to real-world challenges at scale, directly shaping the travel experience of millions. You'll work with state-of-the-art language technologies alongside talented engineers, product managers, and designers who share your passion for data-driven innovation. trivago is a place where ambition and genuine support go hand in hand — we hold high standards and invest in each other's growth. If mastering complex data interpretation and driving product strategy through advanced machine learning excites you, we'd love to have you join our team! How you'll make an impact: Develop and deploy end-to-end machine learning solutions using NLP and text generation techniques to optimize hotel content and enhance the user experience. Analyze data to unearth hidden patterns in user behavior and text performance, translating findings into actionable insights that inform business strategy. Build and leverage large language models and foundation models for text understanding, automated summary generation, and content optimization at scale. Apply advanced machine learning techniques — including predictive modelling, statistical modelling, and deep learning — to solve complex content challenges with moderate supervision. Drive data-driven decision-making through experimental design, A/B testing, and performance monitoring of deployed solutions. Collaborate cross-functionally with product, engineering, and design teams to implement scalable, production-ready solutions aligned with business priorities. What you'll need to thrive: An advanced degree (MSc or PhD) in machine learning, computer science, statistics, or a related quantitative field, with 3+ years of practical experience deploying ML algorithms in production environments. Deep expertise in Python, SQL, and cloud computing, paired with a strong background in NLP/NLG, large language models, and foundation models for text processing. Proven ability to design and execute experiments, apply statistical methods, and translate complex analytical findings into clear, actionable business impact. Solid foundation in experimentation — A/B test design, bias awareness, guardrail metrics, and connecting offline quality to online business outcomes A genuine learning mindset — you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow. A performance mindset — you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them. You see AI as a force multiplier for how data science and analytics can operate at scale — you explore how it can enhance your work, engage with it thoughtfully and with the right guardrails, and are genuinely excited to grow alongside evolving technologies. Not 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): Hireflix: One-way video interview First call with recruiter /HM Technical interview with team + live case study Interview with stakeholders Want to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor . What you can look forward to: At 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: Real 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. Work 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. Measured 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. As 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. 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 many company-wide events to build experiences together. Life 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. 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, 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. Thank 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, w e look forward to your application! #LI-Hybrid

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! Join us in making a difference As a Site Reliability Engineer in our SRE Data Squad, you'll help keep trivago's data backbone running — 8 production Kafka clusters moving over 900K messages per second, plus our managed Flink, Cassandra, and Redis services. You'll apply a software engineering mindset to operations, building the bridge between the two and turning reliability into a craft. You'll grow into a trusted voice on some of trivago's most demanding data systems, deepening your infrastructure expertise with real ownership, a clear path toward senior SRE work, and the stability to build a lasting career here. trivago is a place where ambition and support go hand in hand — we hold high standards and genuinely invest in each other's growth. Curious how your day-to-day could look? Apply today and help us keep trivago's data flowing. How you’ll make an impact: Join our on-call rotation for trivago's Kafka, Flink, Cassandra, and Redis services — a «X»-person rotation with «on-call compensation / time-off arrangement», so incident duty is shared and recovery time is protected. Run and operate our infrastructure across Google Cloud Platform (GKE and Compute Engine) and our on-premises datacenter (Rancher). Build monitoring and observability for the applications and data services the team supports. Document the actions you take and turn repetitive work into automation — including with AI-assisted tooling where it genuinely helps. Contribute to runbooks, technical documentation, and our engineering blog. Debug issues across services and levels of the stack, and contribute to the team's issues and OKRs. What you'll need to thrive: Hands-on experience operating Kubernetes in production, together with practical Kafka experience — the two technologies this squad works with every day. Experience running infrastructure in both cloud and on-premises environments, ideally Google Cloud Platform (GKE and Compute Engine) and Rancher; experience with Flink, Cassandra, Redis, or MySQL is a welcome bonus. Strong analytical and troubleshooting skills in distributed, data-intensive systems — you move from first symptom to root cause across multiple services, and you're comfortable setting your own priorities, including under incident pressure. A genuine learning mindset — you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow. A performance mindset — you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them. An open and curious mindset toward AI tools and automation — you actively explore how AI can support incident triage, runbook automation, and daily operations, and you're excited to grow alongside evolving technologies. Not 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. Want to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor . Recruiting process for this role: Asynchronous video interview Case study Technical interview + case study presentation Profile Dynamics Assessment Final interview with key stakeholders What you can look forward to: trivago is a place where technical ambition meets genuine investment in your growth — here's what you can look forward to: Own your stack. We give engineers real agency over technical decisions. You'll work in small, autonomous teams with direct access to production, where your choices have measurable impact and your input actively shapes how we build. Stay sharp with dedicated learning opportunities. Beyond our campus library and free online courses, engineers get access to specialist technical meetups, internal guilds, architecture reviews, certifications, specialist tools, and hands-on experimentation time. Ship fast, learn faster. We run a continuous deployment culture with short feedback loops. You'll move from idea to production in days — with the autonomy, tooling, and trust to iterate quickly and own your outcomes end to end. AI-native engineering environment. We actively invest in AI tooling for developers — including coding assistants, AI-powered workflows, and dedicated experimentation time. We build it into how we work. As 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. 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, 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. 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 many company-wide events to build experiences together. Life 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. Thank 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, w e look forward to your application! #LI-Hybrid

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! Join us in making a difference Every 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. We'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. In 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: Query & 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. Retrieval & 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. Two-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. Traditional ML, deep learning, and language models all have a place here — your role is knowing when to use each one for real business results. How you'll make an impact: Own components end-to-end — from problem framing through to production deployment and business impact. Build and improve query understanding — intent classification, named entity recognition, slot filling, and semantic interpretation across 35+ languages. Design retrieval systems — candidate generation, dense and hybrid retrieval, and the recall-versus-latency trade-off at query time. Develop 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. Apply 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. Design offline and online evaluation frameworks — relevance judgement pipelines, cold-start evaluation, and retrieval and ranking quality metrics. What you'll need to thrive: 5+ years building and shipping search, ranking, or recommendation systems in production — Master's or PhD preferred, or equivalent demonstrated expertise. Deep 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. Experience fine-tuning and distilling transformer models for production — building efficient solutions optimised for real-world scale and latency. Solid foundation in experimentation — A/B test design, bias awareness, guardrail metrics, and connecting offline quality to online business outcomes. Strong Python and SQL; hands-on with PyTorch or HuggingFace; familiarity with vector search infrastructure, cloud ML pipelines (Vertex AI, Airflow), and GCP. Clear communicator, entrepreneurial drive, collaborative mentor, and motivation to make progress in ambiguous problem spaces. Outcome-driven: you care about the business impact of your work, not only the sophistication of the model or methodology. Hands-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. A learning and performance mindset — you set ambitious goals, seek feedback, stay curious, and actively explore how AI tools can enhance your work. Nice to have Experience in travel, e-commerce, or two-sided marketplace search. Familiarity with marketplace dynamics and how advertiser signals interact with relevance ranking. Multilingual retrieval experience. Published research in information retrieval, ranking, or NLP — SIGIR, RecSys, WWW, or KDD. Not 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): One way interview — 10 min Introduction Call with Hiring Manager Technical interview — 9 0 min, system design on a real problem Collaboration Interview — 60 min Potential Final interview — 30 min with team lead Want to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor . What you can look forward to: At 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: Real 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. Work 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. Measured 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. As 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. 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, 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. 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 many company-wide events to build experiences together. Life 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. #LI-DNI Thank 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, w e look forward to your application! #LI-Hybrid