Machine Learning Scientist II – Agentic Experiences

Expedia Group

. Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration .

Posted 11/5/2026full-timeUnited StatesJuniorMid-Level💰 $112,000 - $180,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying multi-step agentic AI systems, integrating large language models with external tools, and defining evaluation frameworks for machine learning systems. Strong background in Python programming and proficiency with ML frameworks such as PyTorch and TensorFlow.

Highest-signal resume keywords

Agentic AI System DesignPython ProficiencyLLM IntegrationEvaluation Framework DevelopmentMachine Learning Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic AI SystemsMulti-Step AI SystemsPythonPyTorchTensorFlowJAXLLM APIsPrompt EngineeringEvaluation FrameworksMachine Learning

Tools & Technologies

LangChainLlamaIndexAPIsDatabasesCode Execution Environments

Industry Keywords

Travel IndustryE-Commerce IndustryMachine Learning ConferencesOpen-Source ContributionsPatented Inventions

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 agentic architectures such as 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 measuring task success, reliability, latency, cost, and safety
Collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic systems
Identify and mitigate risks including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
Stay current with agentic AI research and industry developments to inform technical direction

Requirements

What you’ll need

PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
2+ years of related industry experience
Experience designing and deploying agentic or multi-step AI systems in production or research settings
Proficiency in Python and ML frameworks 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
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
Experience in the travel or e-commerce industry
Publications in top-tier ML conferences or journals
Patented inventions, pending and issued
Contributions to open-source ML projects
Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

Benefits

Comp & perks

Medical, dental, and vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership
Accommodation or adjustment support during the application or recruiting process