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Expedia Group

Runs travel booking sites for people and companies

Senior Machine Learning Scientist: Agentic AI & GenAI Systems - Growth Marketing

Applied Machine Learning +1Updated on Nov 13
Full-timeSeattle, WA, USA$184.5k - $258kIn-person

About the Job

Requirements

  • At least 10 years of experience in software engineering, machine learning, and AI systems, including production GenAI deployments.
  • Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems.
  • A solid foundation in natural language processing and experience with multimodal AI systems, including vision-language models.
  • Proven experience building and operating multi-agent AI platforms with observability and safety frameworks, including self-hosted orchestration frameworks such as LangGraph integrated with LLM APIs such as Claude.
  • A strong background in distributed GPU training and inference, cloud infrastructure such as AWS or Azure, container orchestration, and machine learning tooling.
  • Demonstrated ability to lead end-to-end AI product development and collaborate with product and design teams to ship user-facing features.
  • Ability to present complex architecture and product concepts to executives.

Responsibilities

  • Architect, build, and ship enterprise-scale GenAI, retrieval-augmented generation, and multi-agent systems end-to-end, including frontend, backend, and user interfaces.
  • Design hierarchical multi-agent ecosystems with interactive generative user interfaces, dashboards, and safety and observability features, including interfaces generated dynamically by an agent in response to user needs.
  • Develop short-term contextual and long-term episodic memory architectures, knowledge graph augmentation, and adaptive retrieval systems.
  • Lead hands-on implementation of retrieval-augmented generation pipelines, vector memory systems, and agent orchestration frameworks such as LangChain, LangSmith, AutoGen, and OpenAI or Claude Agents SDK; develop advanced evaluation platforms using LLM-as-a-Judge, synthetic data generation, and agent trajectory assessment.
  • Train, fine-tune, adapt using LoRA, QLoRA, or adapters, and distill large language models, including using RLHF/DPO, for production-ready chatbots and GenAI products.
  • Build multimodal pipelines integrating vision, audio, text, and structured data, optimizing scalability and latency.
  • Build and deploy large-scale behavioral embedding systems that learn traveler representations from search, booking, web, app, loyalty, and marketing interactions, using distributed representation learning and real-time serving for personalization, audience targeting, propensity models, and next-best-action recommendations.
  • Collaborate with product and engineering teams to create intuitive user interfaces and seamless end-to-end user experiences.
  • Mentor engineers and machine learning scientists, set technical standards, conduct design reviews, and contribute to the organization’s technical maturity.
  • Represent the organization externally through open-source contributions, patents, conferences, and publications.

Desired Qualifications

  • A PhD in Computer Science, Machine Learning, or a related field.
  • Recognized industry presence through publications, patents, talks, or open-source contributions in LLMs, RAG, or agentic systems.
  • Experience integrating multimodal LLM systems involving vision, audio, music, or structured data.
  • Leadership in GenAI safety, evaluation, testing, and monitoring.
  • Strong cross-disciplinary fluency in modeling, infrastructure, product, and design.

About the Company

Expedia Group

Runs travel booking sites for people and companies

Expedia Group runs online travel brands such as Expedia, Hotels.com, and Vrbo, where people book hotels, vacation homes, flights, and rental cars, and it supplies the same travel to other companies. Its Expedia site was one of the first online travel agencies, letting people compare and book flights and hotels on the web without calling a travel agent. Travelers search and pay through its apps and websites, while partners such as airlines and banks plug its hotel and flight listings into their own booking sites. Expedia earns commissions and markups on bookings and sells advertising to hotels and other travel companies. It began in 1996 as a division of Microsoft and is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1996

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