Expedia

Machine Learning Scientist III - Agentic Experiences

Expedia
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3 days ago
Seattle, WA, USA or San Jose, CA, USASenior
H1B sponsor

Responsibilities

  • Design, build, and evaluate multi-step agentic AI systems with planning, tool use, memory management, and multi-agent collaboration.
  • Research and implement agentic architectures including ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
  • Develop and maintain agent orchestration frameworks for task decomposition, delegation, failure handling, and recovery.
  • Integrate large language models with external tools, APIs, databases, and code execution environments.
  • Define and own evaluation frameworks covering task success, reliability, latency, cost, and safety across benchmarks and production scenarios.
  • Collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic systems.
  • Identify and mitigate prompt injection, unintended actions, hallucination, and unsafe tool-use risks.
  • Track academic research and industry developments to guide the team’s technical direction.

Requirements

  • PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience.
  • 3–5+ years of related industry experience.
  • Demonstrated experience designing and deploying agentic or multi-step AI systems in production or research settings.
  • Strong proficiency in Python and an ML framework such as PyTorch, TensorFlow, or JAX.
  • Experience with LLM APIs and orchestration libraries such as LangChain or LlamaIndex.
  • Experience integrating LLMs with external tools, APIs, and structured data sources.
  • Solid understanding of prompt engineering, including chain-of-thought, few-shot prompting, and structured output generation.
  • Experience defining and running ML-system evaluation frameworks, including offline benchmarking and production monitoring.
  • Travel or e-commerce industry experience is preferred.
  • Publications in top-tier ML conferences or journals, patented inventions, open-source ML contributions, and experience taking models from prototype to production are preferred.

Benefits

  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement.
  • Travel discounts and International Airlines Travel Agent Network (IATAN) membership.

Tech Stack

PythonPyTorchTensorFlow

Categories

Expedia

About Expedia

10,000+ employees

Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.

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