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Director, Machine Learning Science - Content AI
- London, England, United Kingdom
- London, England, United Kingdom
Über
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Director, Machine Learning Science Introduction to the Team 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 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
You have a graduate degree in a quantitative field or relevant equivalent experience
You have 12+ years experience in Machine Learning Science
You have 5+ years of people management experience
You have extensive, up‑to‑date knowledge and hands‑on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU)
You have extensive experience in Generative AI technology areas such as search, personalization, sorting, ranking, recommendation, bidding, pricing, etc
You have large‑scale content experience; an area closely related to reimagine Content in the era of GenAI, personalization
Preferred Qualifications
You have a proven track record of designing and delivering high‑impact machine learning projects and products from concept to completion
You have a proactive, problem‑solving mindset with the ability to simplify complexity and translate high‑level business requirements into specific projects
You possess strong presentation skills, with the ability to communicate complex concepts clearly and tailor key messages and presentation styles to various audiences
The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list benefits.
Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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Sprachkenntnisse
- English
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