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Principal Machine Learning Scientist – Agentic Experiences
Expedia GroupPrincipal Machine Learning Scientist developing agentic AI systems for Expedia Group’s travel platform. Designing LLM orchestration, evaluation, safety, and production solutions impacting millions of travelers.
Posted 8/5/2026full-timeSeattle • California, Washington • 🇺🇸 United StatesLead💰 $242,000 - $387,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying agentic AI systems, integrating large language models with external tools, and defining evaluation frameworks for performance metrics. Proven ability to mentor teams and translate complex business requirements into effective AI solutions.
Highest-signal resume keywords
Agentic AI System DesignPython ProficiencyLLM API IntegrationML System Evaluation FrameworksMentoring ML Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAgentic Architecture TechniquesPrompt EngineeringTask DecompositionFailure HandlingTool-Augmented ReasoningMulti-Agent CollaborationProduction MonitoringBenchmarkingData Structures
Soft Skills
CollaborationMentoringResearch SynthesisProblem SolvingCommunication
Tools & Technologies
PyTorchTensorFlowJAXLangChainLlamaIndexAPIsDatabasesCode Execution Environments
Industry Keywords
E-CommerceTravelMachine Learning EngineeringOpen-Source ContributionsPublications in ML Conferences
Tech Stack
Tools & technologiesPythonPyTorchReactTensorflow
About the role
Key responsibilities & impact- Design, build, and evaluate multi-step agentic AI systems with planning, tool use, memory management, and multi-agent collaboration
- Research and implement agentic architecture techniques 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 measuring task success, reliability, latency, cost, and safety
- Collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic solutions
- Identify and mitigate agentic-system risks such as prompt injection, unintended actions, hallucinations, and unsafe tool use
- Synthesize academic research and industry developments to inform technical direction
- Mentor senior ML engineers and scientists on agentic design patterns, LLM practices, and experimentation methodology
Requirements
What you’ll need- BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience
- 10+ years of related industry experience
- Experience designing and deploying agentic or multi-step AI systems in production or research settings
- Strong 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, 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
- Experience taking models from prototype to production with Machine Learning Engineering teams
- Advanced degree in Computer Science, Machine Learning, Statistics, or Engineering is preferred
- Experience in travel or e-commerce is preferred
- Publications in top-tier ML conferences or journals are preferred
- Patented inventions are preferred
- Contributions to open-source ML projects are preferred
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
- Flexible benefits and support
- Accommodation or adjustment support during the application or recruiting process