Expedia Group is looking to improve travel search, personalization, and recommendation systems for its users
Requirements
- PhD, MS, or BS in Computer Science, Machine Learning, Information Retrieval, Engineering, or a related field; or equivalent professional experience
- 3+ years of experience in large scale ML-powered search, discovery, and Recommender systems
- Strong foundation in machine learning, deep learning, information retrieval, and recommender systems
- Proficiency in Python programming language
- Strong knowledge and expertise in TensorFlow and/or PyTorch
- Hands-on experience with ranking models, search relevance, personalization, or large-scale retrieval systems
- Proven knowledge of processing and analyzing large scale data volumes, semi-structured and unstructured data and near real-time throughput
Responsibilities
- Research, design, and develop machine learning models to improve travel search, personalization, and recommendation systems
- Develop algorithms that understand user intent, optimize relevance, and surface the most meaningful travel products and options
- Build and evaluate large-scale retrieval, ranking, and personalization models for structured and unstructured travel data
- Apply best-in-class machine learning techniques to solve the business problems at hand
- Stay ahead of emerging ML techniques in search, discovery, and generative AI, and bring them into real-world applications
- Partner with product, data engineering, and platform teams to bring ML models from experimentation to production
Other
- Minimum Qualifications: PhD, MS, or BS in Computer Science, Machine Learning, Information Retrieval, Engineering, or a related field; or equivalent professional experience
- 3+ years of experience in large scale ML-powered search, discovery, and Recommender systems
- Must be able to work in the United States
- Travel perks, generous time-off, parental leave, and a flexible work model
- Career development resources and a full benefits package
