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

Are 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!

Get an inside look at data science at trivago:

How you’ll make an impact:

• Design and develop end-to-end machine learning solutions, from problem definition to deployment, focusing on computer vision and natural language processing for hotel imagery optimization
• Leverage and fine-tune state-of-the-art AI models, including LLMs and foundation models, to enhance image understanding and content generation
• Drive data-driven decisions through in-depth analysis of image performance and user behavior, translating complex findings into actionable insights
• Collaborate cross-functionally with product managers, engineers, and designers to implement scalable solutions that enhance our visual content platform
• Mentor and guide team members while contributing to the development of best practices and methodologies
• Monitor and optimize deployed solutions through rigorous A/B testing and performance analysis

What you’ll need to thrive:

• Proven experience in developing and deploying ML algorithms in production environments at scale
• Strong background in computer vision, deep learning, and modern AI architectures
• Expertise in working with large language models and foundation models
• Excellent programming skills in Python and familiarity with ML frameworks
• Capable of driving meaningful business impact through implemented ML solutions
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders

Worried 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 role:

• Introduction Call
• Case Study
• Technical Interview with case study presentation
• Interview with Stakeholders
• Final Interview with Lead