Develop and deploy production machine learning solutions for Expedia Group's Air Pricing team, improving airline and travel marketplace outcomes.
Responsibilities
Develop, evaluate, and improve machine learning models for Air product and business problems
Translate ambiguous problems into measurable objectives, selecting appropriate data, modeling approaches, and evaluation methods
Partner with engineers, product managers, scientists, analysts, and Air domain experts to move machine learning solutions from experimentation into reliable products
Analyze large and complex datasets, identify meaningful patterns, and communicate data-driven recommendations to technical and non-technical stakeholders
Design and conduct experiments, apply causal-inference methods where appropriate, interpret results, and iterate on models and workflows to improve accuracy, efficiency, and business and traveler outcomes
Requirements
Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience
Advanced degree in machine learning, computer science, statistics, mathematics, economics, operations research, engineering, or a related technical discipline
Nice to have: domain interest in airlines, travel marketplaces, revenue management, yield management, pricing, commercial decision science
Nice to have: experience operating machine learning models or data products at scale
Nice to have: practical exposure to experimentation or causal-inference methods
A senior hands-on applied science and engineering role focused on shaping the next generation of deep learning systems for personalization, including recommendation, ranking, retrieval, traveler understanding, sequential modeling, and foundation-model-based personalization.
Locations (2)
San Jose, California, United States
Seattle, Washington, United States
Compensation
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance. The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance.
Responsibilities
Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems
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
Senior AI/ML Scientist
Blue Cross and Blue Shield of North Carolina · Posted Jun 15, 2026
The role involves taking an active role in technical pricing activities for Motor products, developing GLM-based models and monitoring portfolio performance.
Responsibilities
Take an active role in technical pricing activities for Motor products
Develop GLM-based pricing models
Perform impact analyses, scenario studies, and profitability assessments for pricing changes
Conduct regular portfolio performance monitoring
Prepare regular and ad-hoc reports, providing insights to management and relevant business units
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