Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Expedia Group

Senior Machine Learning Scientist – Agentic Experience

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 11/10/2026full-timeUnited StatesSenior💰 $184,500 - $261,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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. Proven ability to mentor junior engineers and collaborate across teams to translate business requirements into effective AI solutions.

Highest-signal resume keywords
Agentic AI System DesignPython ProficiencyLLM IntegrationEvaluation Framework DevelopmentMentorship in Machine Learning

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Agentic System DesignMulti-Step AI SystemsPythonML FrameworksPrompt EngineeringEvaluation FrameworksTask DecompositionTool-Augmented ReasoningChain-of-Thought PromptingFailure Handling
Soft Skills
CollaborationMentoringRisk MitigationCommunication
Tools & Technologies
PyTorchTensorFlowJAXLangChainLlamaIndexAPIsDatabasesCode Execution Environments
Certifications & Qualifications
PhDMSBS in Computer ScienceMachine LearningStatisticsEngineering
Industry Keywords
Travel IndustryE-Commerce IndustryMachine Learning ConferencesOpen-Source ContributionsPublicationsPatented 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 to sub-agents, 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 agentic system designs and production-grade solutions
  • 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
  • Mentor junior ML engineers and scientists 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 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, 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
  • Preferred: PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience
  • 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 coverage
  • Dental coverage
  • 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