Expedia Group
Machine Learning Scientist III - CRM Machine Learning Science
Expedia Group, San Jose, California, United States, 95199
Job Summary
The Traveler Engagement & Loyalty team at Expedia is building an AI‑driven recommendation system to enhance customer experiences, increase engagement, and strengthen traveler relationships worldwide. The role focuses on building recommendation models for customer relationship management (CRM), delivering personalized email campaigns and retention strategies that will directly impact millions of travelers.
Compensation Base pay range: $149,000 – $208,500 per year. The total cash range for this position in San Jose is $149,000 – $208,500. Employees may earn up to $238,500 based on continued high performance.
Benefits Full benefits package including medical/dental/vision, generous paid time‑off, parental leave, flexible work model, travel perks, wellness & travel reimbursement, and an International Airlines Travel Agent (IATAN) membership.
In This Role, You Will
Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies.
Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data.
Design and analyze A/B experiments to validate model performance and drive product decisions.
Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments.
Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes.
Stay current with advancements in recommendation research, deep learning architectures, and personalization systems.
Minimum Qualifications
MS or BS in Computer Science, Machine Learning, Statistics, Engineering, or related field; or equivalent professional experience.
3+ years of experience building production‑grade recommendation or personalization systems.
Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference.
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
Experience with distributed systems like Apache Spark.
Familiarity with A/B testing and experimentation methodologies.
Ability to work with large‑scale, real‑world data with attention to bias, fairness, and privacy.
Excellent communication skills for both technical and non‑technical audiences.
Preferred Qualifications
PhD in Computer Science, Machine Learning, Statistics, Engineering, or related field.
Experience in the travel or e‑commerce industry.
Familiarity with cloud platforms (AWS, GCP, Azure).
Publications in top‑tier ML conferences or journals.
Contributions to open‑source ML projects.
Experience with personalization systems or CRM‑focused ML applications.
Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Other
Industry: Software Development
EEO Statement 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify.
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Compensation Base pay range: $149,000 – $208,500 per year. The total cash range for this position in San Jose is $149,000 – $208,500. Employees may earn up to $238,500 based on continued high performance.
Benefits Full benefits package including medical/dental/vision, generous paid time‑off, parental leave, flexible work model, travel perks, wellness & travel reimbursement, and an International Airlines Travel Agent (IATAN) membership.
In This Role, You Will
Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies.
Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data.
Design and analyze A/B experiments to validate model performance and drive product decisions.
Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments.
Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes.
Stay current with advancements in recommendation research, deep learning architectures, and personalization systems.
Minimum Qualifications
MS or BS in Computer Science, Machine Learning, Statistics, Engineering, or related field; or equivalent professional experience.
3+ years of experience building production‑grade recommendation or personalization systems.
Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference.
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
Experience with distributed systems like Apache Spark.
Familiarity with A/B testing and experimentation methodologies.
Ability to work with large‑scale, real‑world data with attention to bias, fairness, and privacy.
Excellent communication skills for both technical and non‑technical audiences.
Preferred Qualifications
PhD in Computer Science, Machine Learning, Statistics, Engineering, or related field.
Experience in the travel or e‑commerce industry.
Familiarity with cloud platforms (AWS, GCP, Azure).
Publications in top‑tier ML conferences or journals.
Contributions to open‑source ML projects.
Experience with personalization systems or CRM‑focused ML applications.
Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Other
Industry: Software Development
EEO Statement 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify.
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