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Expedia Group

Senior Machine Learning Scientist

Expedia Group

Senior Machine Learning Scientist at Expedia Group developing solutions to improve post-booking customer experience. Collaborating with cross-functional teams to design and implement machine learning models.

Posted 4/23/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesSenior💰 $173,000 - $242,500 per yearWebsite

Tech Stack

Tools & technologies
PandasPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Build and evaluate GenAI- and LLM-powered solutions and AI agents that improve post-booking customer experience, including recommendations, customer service, and trip management.
  • Owns end-to-end ML and GenAI projects—from problem framing and data preparation through model/agent design, orchestration, deployment, and continuous evaluation.
  • Apply deep expertise in applied ML, Generative AI, and rigorous experimentation to design robust evaluation frameworks (A/B tests, offline metrics, qualitative assessments).
  • Partner closely with product, engineering, and operations while mentoring junior scientists and helping define best practices for AI agent development and evaluation.

Requirements

What you’ll need
  • PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Economics, Operations Research) and ~3+ years of industry experience; or Master’s degree in a quantitative field with ~5+ years of relevant industry experience.
  • Proven track record of building and deploying ML models that meaningfully impact business metrics in a production environment.
  • Strong knowledge of machine learning theory and practice (e.g., supervised learning, representation learning, ranking/recommendation, deep learning).
  • Solid grounding in statistics, experimental design (A/B testing), and basic causal inference; comfortable designing and analyzing online experiments.
  • Strong programming skills in Python and its data/ML ecosystem (e.g., pandas, scikit-learn, PyTorch/TensorFlow, PySpark), plus proficiency in SQL.
  • Hands-on experience using GenAI / LLM APIs (e.g., OpenAI, Hugging Face, Anthropic, Gemini) in prototypes or production is highly desired.

Benefits

Comp & perks
  • health insurance
  • dental insurance
  • vision insurance
  • paid time off
  • Employee Assistance Program
  • wellness & travel reimbursement
  • travel discounts
  • International Airlines Travel Agent membership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningGenerative AIdeep learningA/B testingexperimental designPythonSQLdata preparationmodel designmodel deployment
Soft Skills
mentoringcollaborationproblem framingcommunicationbest practices definition
Certifications
PhDMaster’s degree