Senior Machine Learning Scientist

Overview

In this role, you design and deploy ML-driven personalization and ranking solutions for lodging, shaping experiences across Expedia’s brands. You’ll own end-to-end scientific work from problem definition to production, collaborating with engineers, product, and business teams. Your work directly influences traveler satisfaction and business outcomes through scalable, measurable ML solutions. This is a hands-on, production-focused senior role where you push state-of-the-art techniques in a fast-paced product environment.

Responsibilities

• Design, develop, and apply ML solutions to personalization and ranking problems
• Lead end-to-end scientific work: problem formulation, data exploration, feature engineering, model development, evaluation, iteration
• Collaborate with engineers, product, and business stakeholders to integrate ML into services including system design, API design, and data modeling
• Apply strong technical judgment to select methods, validate outcomes, and improve performance, reliability, and operational quality
• Safely integrate and operate AI/ML-enabled solutions in production environments
• Stay informed on advances in recommender systems and relevance algorithms
• Share deep technical expertise through experimentation, documentation, mentoring, and reusable approaches
• Work with cross-functional teams to deploy scalable ML solutions into production

Key requirements

• 8+ years of relevant experience
• Bachelor’s degree in Computer Science or related field
• Proven ownership of ML solutions from problem definition to operationalization
• Strong foundation in ML methods, statistics, experimentation, and data-driven decision making
• Hands-on coding in scientific and production environments
• Experience deploying technical solutions with cross-functional partners
• Production-oriented experience in scalable model development and data modeling

• collaboration
• communication
• ownership mindset
• machine learning methods and experimentation
• data exploration and feature engineering
• production deployment and reliability

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