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Machine Learning Scientist II

United Kingdom - London



Job Description Template:  Machine Learning Scientist II 


The Reinforcement Learning team applies RL and multi-armed bandit techniques to optimise experiences at scale in real time. Our platform is a contextual multi-armed bandit AI service that serves multivariate user experiences, considers the unique context of each visitor, and quickly adapts to user behavior in order to optimize user experiences at scale. It unlocks the ability to iterate to optimal product solutions far more quickly than traditional A/B testing, and it even unlocks the ability to handle ever-changing content and continuous "cold start" situations gracefully. 

Business Contribution/Impact: 

We optimise hundreds of millions of customer interactions across the entire Expedia Group travel platform driving $10MMs of profit through optimised experiences.  

What you’ll do:  

 Machine Learning: 

  • You will apply an understanding of supervised learning, unsupervised learning and reinforcement learning theory. 

  • You will tackle business problems by applying reinforcement learning models, algorithms and techniques using in-house and open source libraries. 

  • You will modify/adapt to models and techniques to suit business needs. 


Machine Learning Engineering: 

  • You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient contribution and collaboration on a common code base shared between MLSs and MLEs. 


Model Design: 

  • You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution. 



  • You will apply a range of common statistical methods and design experiments to understand and solve business problems.  



  • You will apply data visualization principles consistently resulting in clear and consistent outcomes and build complex charts. 


Communication and presentation: 

  • You will build clear, concise and well-structured functional material (e.g. policies & and procedures, guidelines, presentations, messages). 

  • You will influence action and results through writing clearly in an accessible way for a wide audience. 


Stakeholder and project management: 

  • You will frame challenging business problems as a data science problem and concrete set of tasks. 

  • You will leverage others’ skills, knowledge and expertise effectively in problem solving and delivering impact. 


Who you are:  

  • Bachelor's, Master’s, PhD degree in a Technical field; or Equivalent related professional experience. 

  • Demonstrated ability to build and maintain multiple data science project/product in production environments. 

  • Have significant experience in at least one major ML programming language (Python, Scala…) and familiar with others. 

  • Experienced in industrial application of machine learning. 

  • Demonstrated understanding of the limitations of selected methods. 

  • Solid understanding of hypothesis testing. 


About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Job Category
Technology Group

Job Function
Data Science

United Kingdom - London

Job Type
Full-Time Regular

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