Senior Manager, Machine Learning Science

Overview

In this role you lead the Content AI charter, shaping scalable, grounded content solutions that enhance traveler and partner value. You manage a global team of ML scientists and engineers, set priorities, and drive end-to-end ML initiatives across textual, video, and image content. You collaborate with product and engineering leadership to deliver measurable outcomes while promoting maintainable, production-ready solutions. This position offers a chance to influence content quality and relevance at Expedia Group at scale, with a strong focus on reducing hallucinations and improving content alignment with traveler needs.

Responsibilities

• Lead and develop a high-performing, inclusive data science and ML engineering team across locations
• Set team goals, OKRs, and technical priorities aligned with strategy
• Oversee delivery across the Content AI charter: content generation, moderation/quality, and relevance
• Guide end-to-end ML solutions across modalities (text, video, image; potential extension to speech)
• Develop accurate, grounded, non-hallucinating content AI capabilities for traveler and partner value
• Manage stakeholder relationships with Product, Engineering, senior leadership, and cross-functional partners
• Improve delivery efficiency through iterative execution, decision-making, and process optimization
• Promote an engineering mindset with modular, scalable, production-ready ML solutions
• Communicate progress and insights to diverse audiences
• Foster practices for feedback, knowledge sharing, recruiting, and career growth

Key requirements

• 4-5+ years leading ML/AI teams (ML Scientists, Applied Scientists, Data Scientists or equivalent)
• Master’s degree (or equivalent) in a technical field
• Strong background in supervised/unsupervised learning, evaluation, generalization, robustness, and experimentation
• Experience delivering end-to-end ML projects from problem definition to production integration
• Experience recruiting, coaching, and performance management of data science/ML staff
• Proficiency in Python, Scala, Java or other ML languages, plus SQL
• Proven stakeholder management, prioritization, and problem-solving skills
• Engineering mindset with knowledge of software design, modularity, maintainability, and scalability
• Familiarity with large language models and willingness to learn across content areas and modalities
• Ability to translate business objectives into practical, iterative, cost-aware ML approaches

• stakeholder management
• clear communication
• influencing
• machine learning (supervised/unsupervised, evaluation, robustness)
• end-to-end ML delivery
• text, image, video (multimodal) content processing

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