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Expedia Group

Principal Machine Learning Scientist – Search and Personalization

Expedia Group

. Drive research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems .

Posted 10/20/2026full-timeUnited StatesLead💰 $224,000 - $387,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Expertise in developing and deploying advanced machine learning solutions for search and recommendation systems, with a strong focus on intent understanding, personalization strategies, and evaluation methodologies. Proven ability to lead teams and collaborate across engineering and product domains to translate business needs into effective machine learning applications.

Highest-signal resume keywords
PhD Or MS In Computer Science10+ Years Of Industry ExperienceProficiency In Python And ML FrameworksExperience With Large-Scale Distributed SystemsStrong Understanding Of Intent Understanding Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningDeep LearningGenerative RetrievalReinforcement LearningCausal InferenceMulti-Stage Ranking PipelinesPersonalization SystemsA/B TestingMetric DevelopmentUser-Item Modeling
Soft Skills
Excellent Communication SkillsMentoring And Leadership
Tools & Technologies
TensorFlowJAXPyTorchSparkHadoopAWSGCPAzure
Industry Keywords
Search SystemsRecommendation SystemsE-CommerceTravel IndustryUser-Centric AI Products

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformHadoopPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact
  • Drive research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems
  • Architect hybrid multi-modal retrieval frameworks combining text, image, and structured data
  • Develop and optimize multi-stage ranking pipelines using deep learning, generative retrieval, and advanced algorithms
  • Lead intent understanding efforts using user queries, behavioral signals, and context
  • Advance personalization strategies using embeddings, user-item modeling, and context-aware algorithms
  • Pioneer sequential recommender systems accounting for evolving user preferences, session context, and temporal dynamics
  • Design offline and online evaluation methodologies, including A/B testing, counterfactual estimation, and metric development
  • Collaborate with engineering and product teams to translate business needs into machine learning problems and production-ready solutions
  • Mentor and guide a team of scientists and drive research and deployment practices

Requirements

What you’ll need
  • PhD or MS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
  • 10+ years of related industry experience
  • Experience building production-grade search, recommendation, or personalization systems
  • Strong understanding of intent understanding techniques, retrieval methods, deep learning for recommendations, reinforcement learning, and causal inference
  • Proficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorch
  • Experience with large-scale distributed systems and big data technologies such as Spark and 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
  • Excellent communication skills for technical and non-technical audiences
  • Demonstrated ability to mentor and technically lead research or engineering teams
  • Passion for building user-centric AI products and curiosity about advancing search and recommendations
  • Experience in the travel or e-commerce industry
  • Familiarity with cloud platforms such as AWS, GCP, and Azure
  • Publications in top-tier ML conferences or journals
  • Contributions to open-source ML projects
  • Experience in personalization systems
  • Experience taking models from prototype to production with Machine Learning Engineering teams

Benefits

Comp & perks
  • Medical, dental, and vision coverage
  • Paid time off
  • Employee Assistance Program
  • Wellness and travel reimbursement
  • Travel discounts
  • International Airlines Travel Agent Network (IATAN) membership