Machine Learning Scientist III

Company: Expedia Group

Location: Remote (USA)

Job Overview

Expedia Group is a leader in travel technology, and they are seeking a Machine Learning Scientist III to join their Traveler Engagement & Loyalty team. The role focuses on building and optimizing machine learning models for customer relationship management, directly influencing traveler experiences through personalized recommendations and engagement strategies.

Responsibilities

• Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
• Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
• Design and analyze A/B experiments to validate model performance and drive product decisions
• Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
• Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
• Stay current with advancements in recommendation research, deep learning architectures, and personalization systems

Required Skills

• MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
• 3+ years of experience building production-grade recommendation or personalization systems
• Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
• Experience with distributed systems like Apache Spark
• 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 both technical and non-technical audiences

Preferred Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field
• 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 or CRM-focused ML applications
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

Company Overview

At Expedia Group (NASDAQ: EXPE), we believe travel is a force for good – it opens minds, builds connections, and bridges divides. It was founded in 1996, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees.

H1B Sponsorship

Expedia Group has a track record of offering H1B sponsorships, with 519 in 2025, 410 in 2024, 382 in 2023, 629 in 2022, 483 in 2021, 366 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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