Machine Learning
Working to improve the user experience for millions of travellers as they discover the world
Machine Learning at Booking.com
Our Machine Learning platform allows us to deliver a personalised travel experience to customers across the globe. Our teams use advanced Machine Learning techniques to tackle some of the most complex challenges, from detecting fraud to recommending the perfect property to our customers.
See your ideas generate impact
At Booking.com, there’s a little bit of Machine Learning in almost every corner of the business. We turn data into products. Starting with a business problem, we work in a pragmatic way to find the best Machine Learning solution that delivers value. It’s an efficient approach that offers a lot of freedom. Our position as a leader in our market provides a wealth of data across all sorts of verticals, including machine translation, advertising, security and e-commerce.
A day in a life in our Machine Learning Team
Guiding us through a new era in the evolution of AI, the Booking.com Machine Learning team helps make our platform ever more intelligent, accessible, intuitive and streamlined, aligning with our mission of making it easier for everyone to experience the world. These detail-oriented colleagues work closely with the Data department, and their hard work shapes business decisions and the customer experience.
Our people’s perspectives
At Booking.com, we really tackle difficult machine learning problems at high-scale based on large datasets. It’s a great opportunity for advanced students to learn and engage with the best and get experience in machine learning in an intensive environment.
David
Senior Director of Machine Learning & AI
Data & Machine Learning
Booking.com processes a huge amount of images and text every day. A high variety of deep learning models can make a big difference for our partners and users. Seeing the impact of my team’s work is highly rewarding.
Karen
Senior Machine Learning Scientist
Central Machine Learning
Our Data & Machine Learning community consists of a very broad range of people with different backgrounds and experiences. For every problem you encounter, you are able to find a sparring partner that has closely related knowledge.
Bram
Senior Machine Learning Scientist
Bandit Algorithms & Counterfactual Learning
Machine Learning Scientist
As a Machine Learning Scientist at Booking.com, you will work on both classic and cutting-edge machine learning tasks, either independently or as part of a multi-disciplinary product team. You will be building, training, and deploying machine learning models using techniques like causal inference, uplift modelling, and optimization and conduct detailed data analysis to improve data quality and evaluate model performance. Collaboration with machine learning engineers is essential to ensure models meet product and engineering requirements and are successfully deployed to production. Engaging in applied research to understand, test, and evolve new technologies is also a crucial part of the role.
Machine Learning Engineer
As a Machine Learning Engineer at Booking.com, you will play a pivotal role in enhancing the travel experience for millions of users. Your responsibilities include developing, training, and deploying advanced machine learning models to tackle complex problems such as fraud detection, personalised recommendations, and optimising promotional campaigns. You will collaborate closely with machine learning scientists, software engineers, and product managers to translate business challenges into machine learning solutions. Additionally, you will engage in applied research to innovate and evolve new technologies, contributing to the development of reusable frameworks and cutting-edge ML/AI models.
Product Manager Machine Learning
As a Machine Learning Product Manager, you play a crucial role in integrating machine learning solutions into various products and services. Your contributions will include overseeing the development and implementation of machine learning models and algorithms to solve business problems and enhance user experiences. You will work closely with a team of machine learning engineers and data scientists, ensuring their collaboration and alignment on product deliverables. Additionally, you will provide technical direction and make critical decisions regarding the prioritisation and deployment of machine learning systems. Managing the product lifecycle from ideation to deployment, you ensure that machine learning solutions align with business goals and customer needs. Finally, you will monitor the performance and impact of machine learning products, making necessary adjustments to meet business objectives.
Machine Learning Scientist
As a Machine Learning Scientist at Booking.com, you will work on both classic and cutting-edge machine learning tasks, either independently or as part of a multi-disciplinary product team. You will be building, training, and deploying machine learning models using techniques like causal inference, uplift modelling, and optimization and conduct detailed data analysis to improve data quality and evaluate model performance. Collaboration with machine learning engineers is essential to ensure models meet product and engineering requirements and are successfully deployed to production. Engaging in applied research to understand, test, and evolve new technologies is also a crucial part of the role.
Machine Learning Engineer
As a Machine Learning Engineer at Booking.com, you will play a pivotal role in enhancing the travel experience for millions of users. Your responsibilities include developing, training, and deploying advanced machine learning models to tackle complex problems such as fraud detection, personalised recommendations, and optimising promotional campaigns. You will collaborate closely with machine learning scientists, software engineers, and product managers to translate business challenges into machine learning solutions. Additionally, you will engage in applied research to innovate and evolve new technologies, contributing to the development of reusable frameworks and cutting-edge ML/AI models.
Product Manager Machine Learning
As a Machine Learning Product Manager, you play a crucial role in integrating machine learning solutions into various products and services. Your contributions will include overseeing the development and implementation of machine learning models and algorithms to solve business problems and enhance user experiences. You will work closely with a team of machine learning engineers and data scientists, ensuring their collaboration and alignment on product deliverables. Additionally, you will provide technical direction and make critical decisions regarding the prioritisation and deployment of machine learning systems. Managing the product lifecycle from ideation to deployment, you ensure that machine learning solutions align with business goals and customer needs. Finally, you will monitor the performance and impact of machine learning products, making necessary adjustments to meet business objectives.
No more wasting time fixing broken Machine Learning pipelines
Returning from a relaxing weekend getaway only to find error notifications piling in. Read Carlo’s account of how optimising ML pipeline traceability and debuggability has seamlessly changed his day-to-day work life.
It’s more than a job, it’s a journey
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