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Expedia Machine Learning Jobs (NOW HIRING)

... and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. As a Mobile Engineer III, iOS, working on Expedia's critical ...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... machine learning, data visualization, and artificial intelligence * Lead initiatives to automate ...

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel ... A singular technology platform powered by data and machine learning provides secure, differentiated ...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... A singular technology platform powered by data and machine learning provides secure, differentiated ...

... and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team Expedia Group is revolutionizing the way ...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... A singular technology platform powered by data and machine learning provides secure, differentiated ...

A singular technology platform powered by data and machine learning provides secure, differentiated ... Expedia Group platform. We work at the intersection of product, engineering, and business ...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... A singular technology platform powered by data and machine learning provides secure, differentiated ...

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Expedia Machine Learning information

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$25.5K

$42.6K

$88K

How much do expedia machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for expedia machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers at Expedia and how are they addressed?

Machine learning engineers at Expedia often work with large-scale, complex datasets from various sources, which can present challenges in data quality and integration. Balancing model accuracy with real-time performance requirements is another key challenge, as Expedia’s systems need to deliver fast and reliable results for millions of users. Collaboration with data scientists, software engineers, and product teams is essential to address these issues, ensuring that models are not only effective but also scalable and maintainable. Regular code reviews, robust testing, and participation in cross-functional meetings help machine learning engineers overcome these hurdles and contribute to Expedia’s innovative travel solutions.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Expedia, and why are they important?

To thrive as a Machine Learning Engineer at Expedia, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Proficiency in programming languages like Python or Java, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms like AWS are often required. Strong problem-solving abilities, effective communication, and the ability to collaborate across cross-functional teams distinguish top performers in this role. These skills are crucial for developing scalable, data-driven solutions that enhance Expedia’s products and customer experience.

What does a Machine Learning Engineer do at Expedia?

A Machine Learning Engineer at Expedia designs, builds, and deploys machine learning models to improve travel experiences for customers. They work with large datasets to develop algorithms that power features such as personalized recommendations, pricing optimization, fraud detection, and search relevance. These engineers collaborate closely with data scientists, software engineers, and product teams to integrate models into Expedia’s platforms and ensure they perform efficiently at scale.
More about Expedia Machine Learning jobs
Infographic showing various Expedia Machine Learning job openings in the United States as of July 2026, with employment types broken down into 20% Internship, 4% Full Time, 61% Temporary, 12% Nights, and 3% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Product Manager III, GenAI & ML Platform

Product Manager III, GenAI & ML Platform

Expedia

Chicago, IL

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago


Expedia Group rating

7.9

Company rating: 7.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

5th of 11 rated travel agencies


Job description

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.

Product Manager III, GenAI & ML Platform
The GenAI and Machine Learning Platform teamis responsible forbuilding and scaling the internal capabilities that power AI-driven innovation across the organization. This includes developing shared platforms, tools, and workflows that enable teams toleverageGenerative AI, machine learning, and automation to improve productivity, decision-making, and customer experiences.

Within this fast-evolving space, the team plays a critical role in translating emerging AI opportunities into practical, scalable solutions. This role sits at the heart of that effort-working closely with engineering,machine learningand product leadership to drive adoption, shape priorities, and ensure platform capabilities align withreal businessneeds. As a Product Manager III, you will help bridge strategy and execution, supporting both roadmap delivery and the day-to-day orchestrationrequiredto bring impactful AI/ML products to life.


In this role, you will:

  • Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business priorities and platform adoption goals.

  • Partner closely with engineering, data science, and cross-functional stakeholders to translate complex platform and customer needs into clear product requirements, prioritized backlogs, and actionable deliverables.

  • Drive adoption and usability of internal AI platform tools and workflows, ensuring they effectively meet user needs and scale across teams.

  • Lead product development across the lifecycle-from concept through launch and iteration-balancing technical feasibility, user experience, and operational effectiveness.

  • Use data, experimentation, and stakeholder feedback to evaluate performance, inform prioritization decisions, and continuously improve product outcomes.

  • Contribute to shaping scalable, reliable, and secure AI/ML platform capabilities, including workflow automation, productivity tools, and model-enabled systems.

  • Collaborate across multiple technical domains, navigating ambiguity and evolving priorities to deliver incremental value while supporting longer-term platform vision.

  • Communicate clearly and effectively, translating complex technical concepts into compelling product narratives for both technical and non-technical audiences.


Minimum Qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 5+ years of product management or relatedexperience, with ownership of product initiatives within a domain or across multiple teams.

  • Experience defining product requirements, prioritizing roadmaps, and delivering technical products or platform capabilities in partnership with engineering teams.

  • Strong analytical and decision-making skills, with the ability to use data and insights to guide strategy, measure outcomes, and navigate trade-offs.

  • Experience working on or supporting GenAI, machine learning platforms, developer platforms, or other highly technical products.

  • Familiarity with AI-driven tools, workflow automation, or productivity platforms, and how they drive adoption and business impact.

  • Understandingof AI/ML-enabled products, platforms, or workflows, including practical exposure to how AI-driven systems are built and used.

  • Ability to work effectively in highly technical and ambiguous environments, balancing hands-on execution with strategic thinking.

  • Strong communicationand storytelling skills, with the ability to clearly articulate product strategy and simplify complex concepts.


Preferred Qualifications:

  • Experience working on or supporting GenAI, machine learning platforms, developer platforms, or other highly technical products.

  • Familiarity with AI-driven tools, workflow automation, or productivity platforms, and how they drive adoption and business impact.

  • Demonstrated ability to take products from early-stage concepts through to scaled adoption.

  • Strong balance of technical depth and product leadership, including experience collaborating closely with engineers and contributing to technical discussions.

  • Experience driving platform adoption, including identifying user needs, prioritizing features, and improving usability and engagement.

  • Experienceoperatingin environments with high stakeholder demand and competing priorities, with the ability to bring structure and clarity.

  • Understanding of operational considerations for platform products, including reliability, scalability, and continuous improvement through data-driven insights.

  • Previousexperience in a related technical role such as software engineering, machine learning science or similar.

  • Mastersor PhD degree in a technical discipline

The total cash range for this position in Chicago is $128,000.00 to $179,500.00. Employees in this role have the potential to increase their pay up to $205,000.00, 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 $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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 Expedia Group at https://careers.expediggroup.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.

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