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About the Role
The Senior Machine Learning Scientist will join the Lodging Search Ranking AI team to develop and optimize ranking models using state-of-the-art machine learning and generative AI techniques. This role focuses on improving lodging search and personalized recommendations, directly impacting millions of travelers and travel partners. It is an applied scientist position where models are deployed to production and measured via A/B testing.
Responsibilities
- Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems.
- Translate ambiguous opportunities into scalable models, experiments, and production-ready capabilities.
- Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration.
- Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows.
- Use strong technical judgment to select appropriate methods, validate outcomes, and improve model performance, reliability, and operational quality.
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes.
- Stay informed about relevant advancements in recommender systems and relevance algorithms.
- Contribute deep technical expertise across related domains, helping raise scientific and engineering quality through experimentation, documentation, mentoring, and reusable approaches.
Requirements
- Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
- 8+ years of relevant professional experience.
- Demonstrated ownership of machine learning solutions at the service or multi-service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain.
- Strong foundation in machine learning methods, statistical analysis, experimentation, and data-driven decision making.
- Hands-on coding experience in scientific and production-oriented environments.
- Experience working with cross-functional partners to deploy technical solutions.
- Core expectations in scalable model development, data modelling, and integration into software systems.
Skills
- Machine Learning
- Generative AI
- Personalization
- Ranking Models
- Recommender Systems
- Relevance Algorithms
- Statistical Analysis
- Experimentation
- Data-driven Decision Making
- Scalable Model Development
- Data Modelling
- Integration into Software Systems
- AI/ML-enabled Solutions
- Recommendation Systems
- Neural Recommendation Systems
- Sequential or Session-based Recommendation
- Transformer-based Recommenders
- Semantic Retrieval
- Generative Retrieval
- Representation Learning at Scale
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 8+ years of relevant professional experience
Education Level
- Bachelor's degree in Computer Science or a related technical field
- Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- We are 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.
- 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.
- Expedia Product & Technology division builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.
- A unified, singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
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.