Senior Computer Vision Engineer

Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe. 

Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.

The Visual Optimization team strives to deliver state-of-the-art solutions for visual content, from upload to distribution, including validation, moderation, processing, and transformation. With millions of images and thousands of videos across our platform and channels, we ensure only the best visuals are surfaced at every touchpoint while building scalable and efficient systems.

Officially part of the Central Services group within the Growth department, we work closely with Content Marketing, Data Science, and other teams across the organization to drive innovation, experiment with the latest models and LLM technologies, and make a real impact on our customers’ experience.

• Develop algorithms to automate the image and video processing at scale
• Translate business problems into ML solutions and clearly communicate model impact to non-technical stakeholders
• Work closely with software engineers to ensure seamless integration of ML models into application architecture and deliver robust APIs for production use
• Prioritize customer impact, selecting the best approaches to deliver high-quality products for both internal and external users in a fast-paced environment
• Contribute to the team’s roadmap and long-term product strategy
• Work with Python, Databricks (including MLflow, Spark, and SQL), PostgreSQL, SageMaker, Kubernetes, and other relevant technologies, helping us define the best tools for new use cases

• Machine Learning 
  • Deep expertise in both traditional machine learning and deep learning methods
  • Strong grasp of modern computer vision applications, such as object detection, image classification, similarity search, segmentation, saliency, and multimodal models
  • Hands-on experience training and optimizing computer vision models
  • Familiar with deep learning frameworks such as TensorFlow, PyTorch, or similar
  • Skilled in building offline evaluation pipelines and using online experimentation frameworks to validate model performance in real-world scenarios
• Software Engineering 
  • Strong proficiency in Python, with experience writing efficient, maintainable, production-ready code
  • Comfortable querying structured data and working with large image and video datasets
  • Familiarity with big data technologies (Spark, Scala) is a plus
• Image and Video Processing
  • Experience with image and video processing using OpenCV or other relevant libraries is a plus

• Industry experience 
  • Proven track record deploying, monitoring, and maintaining models for visual content in production environments
• Academic background 
  • An advanced degree in computer vision, machine learning, or a related field is a plus

Here’s how you can expect us to commit to you and your growth.

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 40 days per year
• Flexible working arrangements to support work-life balance
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at [email protected].

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

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