Senior Machine Learning Scientist – Agentic Experience

Expedia Group

Senior Machine Learning Scientist developing innovative agentic AI systems at Expedia Group. Focusing on enhancing customer experiences through autonomous intelligent solutions.

Posted 5/22/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $173,000 - $261,500 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchReactTensorflow

About the role

Key responsibilities & impact

Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
Mentor junior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology

Requirements

What you’ll need

8+ years of related industry experience
Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring

Benefits

Comp & perks

medical/dental/vision
paid time off
Employee Assistance Program
wellness & travel reimbursement
travel discounts
International Airlines Travel Agent (IATAN) membership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonML frameworksPyTorchTensorFlowJAXLLM APIsorchestration librariesprompt engineeringevaluation frameworksbenchmarking

Soft Skills

collaborationmentoringtechnical guidance