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Expedia Group
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  • Expedia Technology teams partner with our Product teams to create inno... Read More
    Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Who We Are: Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywherebecause we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the worlds largest travel platforms. With unrivaled knowledge of the industry and advanced technology, weve built a marketplace that filters through millions of possibilities for travelers and partners worldwide. About the Team: The Marketplace Machine Learning Science team is launching a high-impact initiative focused on Customer Lifetime Value (CLV) a key business metric that will shape long-term company performance and executive decision-making. As a Machine Learning Scientist III, you will lead efforts to build causal models and experimentation frameworks that optimize how we serve millions of travelers globally. This is a high-visibility role with direct exposure to executive leadership and cross-functional teams across product, engineering, marketing, customer service, pricing, and more. Youll be joining a zero-to-one initiative with strong leadership support and urgency to deliver impact starting immediately. Strategic Impact familiarity with Spark is a plus but not required - eagerness to learn is valued Experience with end-to-end ML solution development Experience or interest in applying AI techniques, including large language models (LLMs), is a plus Read Less
  • Senior Machine Learning Scientist (San Jose)  

    - Santa Clara County
    Senior Machine Learning Scientist - Traveler Engagement or equivalent... Read More
    Senior Machine Learning Scientist - Traveler Engagement or equivalent professional experience 8+ years of related industry experience 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: 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 in personalization systems or CRM-focused ML applications Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams Read Less
  • Senior Machine Learning Scientist (Seattle)  

    - King County
    Expedia Technology teams partner with our Product teams to create inno... Read More
    Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud or equivalent related professional experience 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations. ML Programming Expertise : Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills : Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code. Machine Learning Knowledge : Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning. Advanced Statistical Methods : Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research : Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation : Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front-End Familiarity : Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications: Mentorship and Leadership : Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing : Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen : Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives. Read Less
  • Senior iOS Engineer (Austin)  

    - Travis County
    Job Description Introduction to Team Expedia Technology teams partner... Read More
    Job Description Introduction to Team Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Senior iOS Engineer role is part of the Trip Planner team, which builds the next generation of travel planning experiences to help travelers discover, share, and organize their dream vacations with ease. We design responsive, cross-platform, and large-scale solutions that integrate with every line of businessair, lodging, car rental, and more. We're also applying cutting-edge AI technologies to personalize and simplify the planning process for millions of travelers. Planning a trip should be excitingnot overwhelming. Youll be part of a team that blends technology and human touch to solve real traveler problems, helping people explore the world and create lasting memories. Your contributions will support our strategy to make travel more predictive, proactive, and personalizedpowered by AI, but grounded in trust and connection. This position will play a pivotal role in shaping the architecture of our mobile apps. Your work will directly influence how travelers interact with our platform, ensuring seamless, scalable, and delightful experiences. This is a high-impact role where your technical leadership will help define the future of mobile travel planningcontributing to our ambition to become the global one-stop travel marketplace. In this role, you will: Lead development of iOS features and guide architectural decisions Build holistic solutions that ensure consistent experiences across platforms Collaborate with UX designers, engineers, and product managers to deliver intuitive and delightful traveler experiences Champion engineering excellence, usability, and quality Share knowledge across teams and mentor junior developers Contribute to an agile team culture of continuous learning and improvement Explore and recommend emerging technologies to improve performance and scalability Minimum Qualifications: Bachelors degree in Computer Science or a related field, or equivalent professional experience 8+ years of professional mobile/software development experience with a Bachelor's degree, or 6+ years with a Master's Advanced proficiency in iOS technologies including Swift, SwiftUI, and Xcode Experience architecting scalable, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM or VIPER Skilled in multi-threading, concurrency, and performance optimization in SwiftUI Experienced in leading technical discussions and simplifying complex problems Ability to communicate effectively across technical and non-technical audiences Preferred Qualifications: Experience with Firebase and Apollo, and openness to expanding into other enabling technologies like GraphQL Proven track record of building modular, scalable solutions with high transaction volumes Prior experience mentoring and developing other engineers Read Less
  • Introduction to the Team: Our Technology Team partners with teams acro... Read More
    Introduction to the Team: Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Multi-Product AI team at Expedia Group enables unforgettable travel experiences. The teams responsibilities cover search ranking Read Less
  • Expedia Technology teams partner with our Product teams to create inno... Read More
    Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team: The Traveler Engagement 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 a 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 in personalization systems or CRM-focused ML applications. Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams. Read Less
  • Introduction to the team We create and deliver an aligned, dedicated m... Read More
    Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency weve built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore Trip Matching on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. Youll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration toolsenabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany