
Director, Machine Learning Science
Expedia Group
full-time
Posted on:
Location Type: Hybrid
Location: San Jose • California • United States
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Salary
💰 $242,000 - $338,500 per year
Job Level
Tech Stack
About the role
- 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
Requirements
- Graduate degree in a quantitative field or relevant equivalent experience
- 12+ years experience in Machine Learning Science
- 5+ years of people management experience
- Extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU)
- Extensive experience in Generative AI technology areas such as search, personalization, sorting, ranking, recommendation, bidding, pricing
- Large-scale content experience; an area closely related to reimagine Content in the era of GenAI, personalization
Benefits
- Medical/dental/vision
- Paid time off
- Employee Assistance Program
- Wellness & travel reimbursement
- Travel discounts
- International Airlines Travel Agent (IATAN) membership
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningData EngineeringGenerative AIPersonalizationRankingRecommendationBiddingPricingKubernetesSpark
Soft skills
LeadershipCollaborationCross-functional partnershipTechnical excellenceInnovationDecision makingPrioritizationRecruitmentManagementBusiness perspective
Certifications
Graduate degree in a quantitative field