Machine Learning Scientist III at Expedia | Austin, TX, US | Rezi

Machine Learning Scientist III at Expedia

Machine Learning Scientist III

Expedia · Austin, TX, US

2 days ago

Machine Learning Scientist III

Expedia · Austin, TX, US

2 days ago
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About the Role

The Marketplace Science team within AI & Data develops and optimizes applied science-driven marketplace levers to support a healthy and trusted marketplace. The Marketplace Health team builds systems to detect behaviors indicating trust, safety, and marketplace-health risks before they become larger issues, protecting traveler trust and ensuring a reliable experience across Expedia Group’s marketplace.

Responsibilities

  • Own machine learning projects end to end, from understanding business needs 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.

Requirements

  • 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.

Skills

  • Machine Learning
  • Large Language Models (LLMs)
  • Python
  • SQL
  • Statistical Modeling
  • Experiment Design
  • Model Monitoring
  • Agentic Applications
  • Trust and Safety
  • Fraud Detection
  • Risk Modeling
  • Anomaly Detection
  • Behavioral Modeling
  • Marketplace Optimization

Location

  • Seattle
  • Austin

Work Type

  • Full-time

Experience Level

  • III

Salary/Compensations

  • $137,500.00 - $192,500.00
  • Potential to increase pay up to $220,000.00 based on sustained performance

Benefits

  • 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

About the Company

  • Expedia Group helps travelers explore the world with confidence and ease through its consumer brands (Expedia, Hotels.com, Vrbo), B2B travel business, and travel advertising offerings.
  • Expedia Group is committed to providing an inclusive and accessible recruiting experience.
  • Expedia Group's Talent Acquisition and hiring teams are the only official sources for employment opportunities and job offers.

Equal Opportunity

  • Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
  • This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.