Senior Machine Learning Scientist, Conversational AI


Austin, TX, USA


Nov 9

This job is no longer accepting applications.

Senior Machine Learning Scientist, Conversational AI

Expedia is the global leader in travel. From the practical matters of booking flights, cars, hotels, packages, local activities, or vacation rentals to the realization of dreams and bucket lists, we cover the entire breadth of this deep and varied relationship. We team up with our partners to provide outstanding offers to our customers. Some of our partners are huge brands, and some are individuals with a studio apartment to rent. Our customers are diverse, and we seek to deliver value and a great experience. Our technical challenges are endlessly sophisticated and yet meaningful and exciting.

We are looking for a Senior Machine Learning Scientist to join our growing Conversational AI team. This position focuses on the development and optimization of Expedia’s Conversational AI models such as Natural Language Understanding, Named Entity Recognition, and Text Mining. This role will work closely with business units and internal partners to understand issues and implement industry-leading solutions. The machine learning models and algorithms you develop will improve the conversational experiences of millions of travelers and travel partners each year.

What you’ll do:

  • Develop Natural Language Processing (NLP) models with superior performance to power Expedia’s Conversational AI platforms such as Virtual Assistants, Search and FAQ systems
  • Conduct statistical analysis of the model performance using data collected from the field
  • Optimize existing models for improved accuracy and better performance
  • Apply best-in-class machine learning techniques to solve the business problem at hand
  • Produce novel insights with machine learning to advise company strategy
  • Assist others with data discovery and data preparation phase
  • Communicate sophisticated concepts and the results of the analyses in a clear and effective manner
  • Collaborate with other statisticians, data scientists and machine learning engineers to formulate innovative solutions to experiment and implement sophisticated modeling techniques

Who you are:

  • Master's Degree or Ph.D. in Computer Science, Computational Linguistics, Statistics, Math, Engineering, or equivalent experience
  • 5+ years of experience in NLP, Data Science, analytics and/or engineering fields
  • Expert knowledge of programming languages such as Python, R, or Scala and the Hadoop ecosystem
  • Proven knowledge of processing and analyzing large scale data volumes, semi-structured and unstructured data and near real-time throughput
  • Strong knowledge and expertise in TensorFlow and/or PyTorch.
  • Knowledge of the following languages is considered additional asset: Spanish, French, Italian, Portuguese, German, Japanese, Arabic


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®, 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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