Senior Manager, Machine Learning Science

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Leads the Content AI organization, managing and developing data scientists and machine learning engineers. Oversees machine learning solutions for content generation, moderation, quality, and relevance across text, video, and images. Sets strategy, technical priorities, and team practices while partnering with Product, Engineering, and leadership. Guides production-ready, scalable AI systems, stakeholder communication, delivery optimization, recruiting, performance management, and career development.
Summary Generated by Built In

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Expedia Technology teams’ partner with our Product teams to create innovative products, services, and tools that deliver high-quality experiences for travellers, partners, and employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that build loyalty and traveller satisfaction.


The Content AI team develops content intelligence capabilities that can be leveraged across Expedia Group. The team works across textual, video, and image content. As Senior Manager, Machine Learning Science, you will lead work across the Content AI charter: content generation, content moderation and quality, and content relevance. You will help create a scalable capability that matches accurate, grounded content to travellers and enables partners to shape and improve their content.


In this role, you will:

  • Manage, coach, and develop a high-performing, inclusive team of data scientists and machine learning engineers across locations.
  • Set team goals, OKRs, technical priorities, and operating rhythms aligned with organizational strategy.
  • Lead delivery across the Content AI charter, spanning content generation, content moderation and quality, and content relevance.
  • Guide development and adoption of end-to-end machine learning solutions across textual, video, and image content, with potential expansion into speech.
  • Develop accurate, relevant, grounded and non-hallucinating content AI capabilities that helps shape traveller and partner value across Expedia Group.
  • Apply effective stakeholder management across Product, Engineering, senior leadership, and cross-functional partners.
  • Optimize delivery through iterative execution, clear decision-making, effective processes, and a focus on measurable outcomes.
  • Bring an engineering mindset to machine learning work by promoting maintainable, modular, scalable, and production-aware solutions.
  • Communicate technical concepts, progress, insights, and recommendations clearly to varied audiences.
  • Build team practices that support feedback, knowledge sharing, professional development, recruiting, performance management, and career growth.

Experience and Qualifications:


Required

  • 4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams.
  • Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience.
  • Significant experience in machine learning science, including supervised and unsupervised learning, model evaluation, generalization, robustness, and experimentation.
  • Experience delivering end-to-end machine learning solutions, from problem definition and data preparation through feature engineering, modelling, evaluation, and production integration.
  • Experience managing and developing data scientists or machine learning engineers, including recruiting, coaching, performance management, and career development.
  • Experience with Python, Scala, Java, or another major machine learning language, plus SQL.
  • Demonstrated stakeholder management, prioritization, delivery optimization, communication, influencing, and problem-solving skills.
  • An engineering mindset, including knowledge of software design principles, modular code, maintainability, and scalability.
  • Familiarity with large language models and willingness to learn across content areas and modalities.
  • Experience translating business objectives into practical, iterative, and cost-aware technical approaches.

Preferred

  • PhD in a relevant technical field.
  • Familiarity with LLMOps model inference, and machine learning platform capabilities.
  • Experience with GenAI, LLM fine-tuning, golden dataset construction, evaluation metric definition, multimodal retrieval, embeddings, quantization, or LLM decoder architecture optimization.
  • Experience with recommender systems or reinforcement learning.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

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.

Skills Required

  • 4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams
  • Master's degree in computer science, machine learning, statistics, mathematics, or a related technical field, or equivalent professional experience
  • Significant experience in machine learning science, including supervised and unsupervised learning, model evaluation, generalization, robustness, and experimentation
  • Experience delivering end-to-end machine learning solutions from problem definition and data preparation through feature engineering, modeling, evaluation, and production integration
  • Experience managing and developing data scientists or machine learning engineers, including recruiting, coaching, performance management, and career development
  • Experience with Python, Scala, Java, or another major machine learning language, plus SQL
  • Demonstrated stakeholder management, prioritization, delivery optimization, communication, influencing, and problem-solving skills
  • Knowledge of software design principles, modular code, maintainability, and scalability
  • Familiarity with large language models and willingness to learn across content areas and modalities
  • Experience translating business objectives into practical, iterative, and cost-aware technical approaches
  • PhD in a relevant technical field
  • Familiarity with LLMOps, model inference, and machine learning platform capabilities
  • Experience with generative AI, LLM fine-tuning, golden dataset construction, evaluation metric definition, multimodal retrieval, embeddings, quantization, or LLM decoder architecture optimization
  • Experience with recommender systems or reinforcement learning

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits — Travel-aligned perks such as employee travel discounts and an annual travel/wellness reimbursement stand out as distinctive elements of the package. Wellness resources and mental health tools further enhance day-to-day lifestyle value.
  • Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with strong support including EAP and mental health offerings. U.S. coverage is frequently highlighted as a particular strength.
  • Parental & Family Support — Paid parental leave is characterized as generous for all parents, with additional time for the birthing parent. Family-building and caregiving resources extend to fertility, adoption, surrogacy, gender-affirming care, and specialized caregiver support.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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