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About the Role

As Senior Manager, Machine Learning Science, you will lead work across the Content AI charter, focusing on content generation, moderation, quality, and relevance. You will help create a scalable capability that matches accurate, grounded content to travelers and enables partners to shape and improve their content.

Responsibilities

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.

Requirements

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.
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.

Skills

Machine Learning Science
Supervised Learning
Unsupervised Learning
Model Evaluation
Generalization
Robustness
Experimentation
Python
Scala
Java
SQL
Stakeholder Management
Prioritization
Delivery Optimization
Communication
Influencing
Problem-Solving
Engineering Mindset
Software Design Principles
Modular Code
Maintainability
Scalability
Large Language Models
GenAI
LLM Fine-tuning
Golden Dataset Construction
Evaluation Metric Definition
Multimodal Retrieval
Embeddings
Quantization
LLM Decoder Architecture Optimization
Recommender Systems
Reinforcement Learning
LLMOps

Experience Level

4-5+ years of people leadership experience

Education Level

Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience.
PhD in a relevant technical field.

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
Expedia Technology teams partner with 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.
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.

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.