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# Machine Learning Scientist III

- **Company:** Expedia Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $137,500.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Fraud Prevention and Detection, Monitoring of Systems, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Machine Learning Operations, Software Library
- **Published:** August 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d3f5ef1b007c4c43

## About the Role

* Experience developing, evaluating, and applying machine learning models to complex business or product problems.
 * Experience designing, developing, and deploying solutions using large language models (LLMs).
 * Experience with Python, SQL, and common machine learning libraries and frameworks.
 * Experience translating ambiguous problems into measurable objectives, analytical approaches, and actionable recommendations.
 * Experience collaborating with cross-functional stakeholders to deliver machine learning solutions from concept through production.
 * Proficient communication skills, with the ability to explain technical concepts and business implications clearly.
 * Demonstrated ability to work both collaboratively and autonomously, take initiative, and maintain ownership of deliverables., * Experience developing agentic applications or LLM-powered agents.
 * Experience with trust and safety, fraud detection, risk modeling, anomaly detection, behavioral modeling, or marketplace optimization.
 * Experience working with large-scale, imperfect, or evolving datasets.
 * Experience with model monitoring, experimentation, and production machine learning systems.
 * Experience balancing customer trust, business value, operational considerations, and model performance.

## Description

In this role, you will:

 * Own machine learning projects end to end, from understanding the business need and defining the approach through execution, launch, measurement, and iteration.
 * Develop and improve the Marketplace Health Model system to identify behaviors associated with trust, safety, and marketplace-health risks.
 * Translate complex marketplace challenges into scalable machine learning and statistical modeling solutions.
 * Partner closely with product, engineering, operations, trust and safety, and other stakeholders to understand needs and deliver practical solutions.
 * Stay highly engaged with business outcomes by identifying opportunities where machine learning can create meaningful, measurable impact.
 * Proactively evaluate opportunities based on potential return on investment, customer impact, risk reduction, and implementation feasibility.
 * Design experiments and analyses to assess model performance, business outcomes, and marketplace-health improvements.
 * Monitor deployed models and recommend enhancements to maintain quality, reliability, and relevance as marketplace behavior evolves.
 * Communicate technical findings, recommendations, trade-offs, and project progress clearly to both technical and non-technical audiences.
 * Identify gaps, resolve blockers, and advance projects independently while keeping stakeholders aligned.


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