Expedia Group

Expedia Group

Principal Machine Learning Scientist - Search and Recommendations

Washington - Seattle Campus, USA · Principal

Sponsorship not specified$224k-$314kDetected 23 hours ago
PythonDistributed SystemsAlgorithmsAWSGCPAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchSparkLLMsStatisticsA/B TestingRecruitingResearchCommunicationCollaborationHadoop

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.
  • Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience.

Responsibilities

  • Lead efforts on intent understanding, utilizing user queries, behavioral signals, and context for superior search and recommendation accuracy
  • Design robust offline and online evaluation methodologies, including A/B testing, counterfactual estimation, and metric development
  • Join us and build for travelers everywhere.
  • Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.
  • This Principal will lead the development and optimization of Expedia's Search & Recommendation AI models including natural language search, multi-modal search, Recommendations, and generative AI-based discovery.

Requirements

  • 1 0+ years of related industry experience
  • Proficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorch
  • Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop)
  • Familiarity with A/B testing and experimentation methodologies
  • Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy

Nice to have

  • Experience in the travel or e-commerce industry
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Publications in top-tier ML conferences or journals
  • Contributions to open-source ML projects
  • Experience in personalization systems
  • The total cash range for this position in Seattle is $224,000.00 to $313,500.00.
  • Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
  • Pay ranges may be modified in the future.

Compensation

  • $224k-$314k

Benefits

  • A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
  • We are looking for a Principal Machine Learning Scientist to join our growing Travel Search & Discovery team.

Company info

  • At Expedia Group, we help travelers explore the world, one journey at a time.

Equal opportunity

  • Expedia is committed to creating an inclusive work environment with a diverse workforce.
  • 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.
  • 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, veteran status, or any other characteristic protected by law.

Visa & Work Authorization

  • 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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This listing is sourced directly from Expedia Group's careers page and normalized into a canonical job model.