Machine Learning Scientist II

Traveltechessentialist; Washington; On-site; USD 112,000 - 157,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Machine Learning Scientist II to lead end-to-end ML initiatives that improve marketplace health and trust. You will translate complex business problems into scalable models, deploy LLM-based solutions, and partner with product, engineering, operations and trust teams to drive measurable outcomes.

The role emphasizes experimentation, model monitoring, and clear communication of trade-offs and results to both technical and business stakeholders.

Qualifications

• Graduate degree in a quantitative field with ML/optimization focus.
• Experience building, evaluating, and deploying ML models for business problems.
• Experience designing and deploying solutions with large language models (LLMs).
• Strong Python/SQL skills and common ML libraries.

Responsibilities

• Own ML projects end to end from business need to deployment and measurement.
• Develop and improve Marketplace Health Model to identify trust/safety risks.
• Translate marketplace challenges into scalable ML solutions.
• Collaborate with product, engineering, operations and trust/safety teams.
• Communicate findings and progress to both technical and non-technical audiences.
• Monitor models and propose enhancements as marketplace behavior evolves.

Skills

ML model development

LLMs

Python

SQL

Cross-functional collaboration

Communication

Ownership

Education

Graduate degree in quantitative field

ML/Optimization/Modeling focus

Tools

Python

SQL

ML libraries

Job description

Machine Learning Scientists II

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Key Responsibilities

• 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.

Experience and Qualifications

• 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.
• Demonstrated ability to work both collaboratively and autonomously, take initiative, and maintain ownership of deliverables.

Preferred Qualifications

• Graduate degree in Deep Learning, NLP, Transformer, LLM
• 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.

#LI-MC1

The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at https://careers.expediagroup.com/life.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

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.