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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Scientist - Personalization - **Company:** Expedia Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $173,000.0 - $299,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Decision Support Systems, Intrusion Detection Systems, Machine Learning, Recommender Systems, Software Systems, Feature Engineering, Large Language Models, Information Technology, Api Design, Software Coding, Marketplace, GPT - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cb8bcaba8ac2a94c ## About the Role Do you have experience in Statistics?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience * 8+ years of relevant professional experience * Demonstrated ownership of machine learning solutions at the service or multi-service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain * Strong foundation in machine learning methods, statistical analysis, experimentation, and data-driven decision making, with hands-on coding experience in scientific and production-oriented environments * Experience working with cross-functional partners to deploy technical solutions, with core expectations in scalable model development, data modeling, and integration into software systems Preferred Qualifications: * Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field * Experience delivering machine learning solutions at scale, including architecture considerations, production monitoring, model lifecycle management, and operational excellence in live environments * Demonstrated ability to influence technical direction within a domain through rigorous experimentation, strong scientific reasoning, pragmatic solution design, and clear communication with cross-functional partners * Strong experience with recommendation, ranking, retrieval, search, personalization, ads, marketplace, e-commerce, or similarly complex applied ML systems * Experience with neural recommendation systems, sequential or session-based recommendation, transformer-based recommenders, semantic retrieval, generative retrieval, or representation learning at scale * Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM-recommender systems, two-stage retrieval and ranking systems, or retrieval-augmented personalization workflows * Relevant academic publications, patents, open-source contributions, technical blog posts, industry talks, or other contributions to the ML/recommender-systems community ## Description This is a senior hands-on applied science and engineering role for someone who can translate recent research into production-quality systems, influence technical direction, raise the modeling bar for the team, and mentor other scientists. In this role, you will: * Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems, translating ambiguous opportunities into scalable models, experiments, and production-ready capabilities * Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact * Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows, including system design, API design, and data modeling considerations where applicable * Use strong technical judgment to select appropriate methods , validate outcomes, and improve model performance, reliability, and operational quality across multiple problem domains * Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products * Contribute deep technical expertise across related domains, helping raise scientific and engineering quality through experimentation, documentation, mentoring, and reusable approaches that support broader team effectiveness ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [How to Monetize Your APIs](https://www.wearedevelopers.com/videos/749-how-to-monetize-your-apis) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Got AI ideas but no money? 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