Expedia Group is looking to design intelligent systems that personalize outbound communications, drive loyalty, and shape the future of travel through AI by forming a new Customer Relationship Management (CRM) Machine Learning Science team.
Requirements
- 1+ years of experience building production-grade recommendation or personalization systems
- Proficient knowledge of collaborative filtering and deep learning for recommendations
- Demonstrated skill in Python and at least one machine learning framework such as TensorFlow or PyTorch
- Experience handling large-scale, real-world data
- 3+ years of experience in building and deploying large-scale machine learning systems
- Advanced knowledge of reinforcement learning and causal inference methods
- Experience with distributed systems like Apache Spark
Responsibilities
- Research, design, and implement state-of-the-art recommendation algorithms for Customer Relationship Management (CRM) use cases, including personalized offers, retention strategies, and next-best-action recommendations.
- Build scalable machine learning models that adapt to sparse, noisy, and dynamic customer interaction data.
- Collaborate with data engineers to develop robust pipelines for feature generation, model training, and real-time inference.
- Conduct rigorous offline and online experiments, including A/B testing and counterfactual evaluation, to validate model performance.
- Translate business goals into measurable machine learning objectives, aligning technical solutions with customer engagement outcomes.
- Stay current with the latest advancements in recommendation research, deep learning architectures, and large-scale personalization systems.
Other
- MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
- Strong communication skills, with the ability to explain technical concepts to various stakeholders
- PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field
- Proven track record of implementing and optimizing recommendation systems that drive business impact
- Experience mentoring junior team members and contributing to the data science community
