Director of Machine Learning

Base pay range

$242,000.00 / yr - $338,500.00 / yr

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

Are you passionate about applying advanced machine learning techniques to solve real-world problems? Expedia is seeking a Director of Machine Learning Science (MLS) to lead our team of scientists dedicated to our traveler facing experience.

Expedia Group possesses extensive and rich data sets, many of which remain untapped. Your passion for statistics and machine learning can drive significant growth for our business. We are seeking individuals with hands‑on experience in building machine learning models, acquired in either academic or industrial settings. You should have suitable management experience, with at least experience managing high‑performing machine learning teams. An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required.

In this role, you will :

• Establish the roadmap and own the OKRs for machine learning systems powering our insurance business
• Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms.
• Drive innovation, technical excellence, and deliver business impacts that improve conversion rates, loyalty, and overall traveler experience
• Prioritize the team’s efforts between platform migration and experimenting with new features
• Foster cross‑functional partnerships with stakeholders, including product management, engineering, customer care, and supply teams. Collaborate with multiple product teams to make decisions and prioritize requirements
• Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks
• Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment

Minimum Qualifications :

Preferred Qualifications :

Seniority Level

Not Applicable

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Software Development

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