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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML - Senior Associate - Machine Learning Engineer - **Company:** Expedia Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $173,000.0 - $242,500.0 - **Contract:** Internship / Graduate position - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Data Architecture, Data Cleansing, Information Engineering, Machine Learning, Software Engineering, Feature Engineering, Machine Learning Operations, Data Pipelines - **Published:** September 7, 2026 - **Apply:** https://nlppeople.com/apply/b8yu ## About the Role Bachelor's Degree or Equivalent Level; Technical Degree Preferred 8+ years of relevant professional experience and 3+ years of people management experience Strong expertise in modern machine learning methods in ranking and recommendation with solid programming skills and collaboration experience with engineering teams on system, API, and data design Substantial professional experience leading end-to-end machine learning initiatives, including problem definition, data preparation, feature engineering, model development, offline evaluation, experimentation, and integration into production systems Proven experience managing or technically leading machine learning scientists or applied researchers, with ownership spanning multiple services, products, or problem spaces Preferred Qualifications: Experience with natural language search and refinement of recommendations using natural language Experience with multi-modal recommendations across images, structured metadata, and unstructured text Demonstrated track record delivering large-scale machine learning solutions in high-traffic, data-rich environments, including setting technical direction and architecture for multi-service or multi-domain ML systems Experience designing and operationalizing experimentation platforms, advanced measurement frameworks, or causal inference methodologies to drive data-informed decision making at scale Leadership experience in raising the technical bar for ML teams through publication-quality analyses, reusable modeling frameworks, rigorous data and model quality practices, and effective documentation Proven ability to advance a team's capabilities with emerging AI/ML techniques and tooling, including GenAI & agentic techniques, to unlock new product experiences and operational efficiencies, Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United States ## Description As a Senior Manager, Machine Learning Science you and your team will own our Bundled Products ranking, recommendations, and intent modeling. You will work closely with stakeholders in Cars, Activities, Attach & Packages to help travelers book multi-item trips with Expedia by surfacing relevant offerings in the right places in the experience. Your team owns multiple high traffic, live models and with significant scope for further growth. You will work with a dynamic group of product managers, engineers, and scientists to achieve Expedia's business goals. In this role, you will: Enable a team to develop industry-leading ranking & recommendation models for the travel industry to enable travelers to have memorable travel experiences Lead and grow a team of machine learning scientists to deliver production-grade ML solutions that solve complex business problems and improve traveler and partner experiences across multiple product domains Define and drive the end-to-end machine learning roadmap for your area, from problem formulation and data strategy through model design, evaluation, and productionization in close partnership with engineering and product Set and enforce best practices for experimental design, A/B testing, and causal inference to ensure ML-driven decisions are statistically robust, interpretable, and aligned to business and customer outcomes Partner with data engineering and software engineering teams to ensure ML models are scalable, resilient, observable, and well-integrated into services, APIs, and data pipelines in production Mentor, coach, and develop ML scientists through technical guidance, peer review, and career development, fostering a culture of scientific rigor, continuous learning, and high impact delivery Apply familiarity with AI-driven systems, tools, or workflows and AI/ML concepts to real world products, safely integrating and operating AI/ML-enabled solutions that improve outcomes across multiple lines of business ## Related Videos - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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