Machine Learning Scientist II

Expedia Group

. Own machine learning projects end to end, from understanding the business need and defining the approach through execution, launch, measurement, and iteration .

Posted 9/18/2026full-timeAustin • Texas • United StatesMid-LevelSenior💰 $112,000 - $156,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models, particularly with large language models, while effectively collaborating with cross-functional teams to translate complex business challenges into actionable solutions. Proficient in monitoring model performance and communicating technical findings to diverse audiences.

Highest-signal resume keywords

Machine Learning Model DevelopmentLarge Language Model (LLM) ExperiencePython ProgrammingStatistical ModelingCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingPythonSQLModel MonitoringExperiment DesignData AnalysisOptimizationBehavioral ModelingRisk Modeling

Soft Skills

Proficient CommunicationAutonomous WorkInitiative TakingStakeholder Alignment

Certifications & Qualifications

Graduate Degree in Quantitative Field

Industry Keywords

Marketplace HealthTrust and SafetyFraud DetectionAnomaly DetectionMarketplace Optimization

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 with product, engineering, operations, trust and safety, and other stakeholders to understand needs and deliver practical solutions
Identify opportunities where machine learning can create meaningful, measurable business impact
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 to technical and non-technical audiences
Identify gaps, resolve blockers, and advance projects independently while keeping stakeholders aligned

Requirements

What you’ll need

Graduate degree in a quantitative field such as Computer Science, Statistics, Machine Learning, Operations Research, or similar, with focused coursework or research in ML, optimization, or statistical modeling
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
Ability to work both collaboratively and autonomously, take initiative, and maintain ownership of deliverables
Preferred: Graduate degree in Deep Learning, NLP, Transformer, or LLM
Preferred: Experience developing agentic applications or LLM-powered agents
Preferred: Experience with trust and safety, fraud detection, risk modeling, anomaly detection, behavioral modeling, or marketplace optimization
Preferred: Experience working with large-scale, imperfect, or evolving datasets
Preferred: Experience with model monitoring, experimentation, and production machine learning systems
Preferred: Experience balancing customer trust, business value, operational considerations, and model performance

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
Accommodation or adjustment support during the application or recruiting process