1

Expedia Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

next page

Showing results 1-20

Expedia Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do expedia machine learning jobs pay per year?

As of Jun 26, 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.

Is ML a high paying job?

Machine Learning roles, including those at companies like Expedia, tend to offer high salaries compared to many other tech positions due to the specialized skills required in data analysis, programming, and model development. Compensation varies based on experience, location, and company size, but generally reflects the demand for expertise in AI and data science fields.

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.

Does expedia have an AI agent?

Expedia, as a travel technology company, utilizes AI and machine learning to enhance its services, including personalized recommendations and customer support. While specific details about an AI agent are not publicly confirmed, the company invests in AI-driven tools to improve user experience and operational efficiency.

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.

What is the salary of machine learning engineer in Expedia?

The salary of a machine learning engineer at Expedia typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, with proficiency in Python, machine learning frameworks, and data analysis being valuable for the role.

How much do Expedia ML interns make?

Expedia Machine Learning interns typically earn between $20 and $30 per hour, depending on location, experience, and academic background. Internships often last 10 to 12 weeks and may include additional benefits such as housing stipends or stipends for living expenses.
More about Expedia Machine Learning jobs
Infographic showing various Expedia Machine Learning job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Software Development Engineer II - Full-Stack - Front-End Focus

Software Development Engineer II - Full-Stack - Front-End Focus

Expedia

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Expedia Group rating

8.0

Company rating: 8.0 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

5th of 11 rated travel agencies


Job description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.

Introduction to the Team

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

We are the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next-generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry, ranging from big businesses and enterprises to small bloggers, micro influencers, and creators, in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporate the new ways in which today's travelers discover and shop for travel products.

To do this, we need technically passionate engineers with a strong frontend foundation, an entrepreneurial approach, and a love of solving complex problems. This role is primarily focused on building modern, scalable user experiences using React.js and TypeScript, while also contributing to backend services and APIs in Java

In this role, you will:
  • Design, build, test, and maintain scalable frontend applications and user-facing platform capabilities for advertising technology products and services, with a primary focus on React.js and TypeScript

  • Develop intuitive, performant, and maintainable web experiences that support a wide range of B2B partners, from large enterprises to creators and small businesses

  • Contribute to backend services and APIs using Java or Kotlin, supporting frontend functionality and end-to-end product delivery

  • Participate in system design, low-level design, API design, and data modeling to deliver reliable, extensible solutions across frontend and backend components

  • Collaborate with engineers, product, and partner teams to translate business needs into technical solutions that improve advertising platform capabilities and customer outcomes

  • Own well-defined components and services, troubleshoot production issues, and improve operational health through monitoring, debugging, automation, and continuous improvement

  • Write high-quality, secure, and well-tested code, participate in code reviews, and follow engineering standards that support performance, scalability, accessibility, and resilience

  • Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows, and apply AI/ML concepts to real-world products

Minimum Qualifications
  • Strong proficiency in JavaScript, TypeScript, React.js, GraphQL,

  • Working proficiency in Java or Kotlin for backend development and service integration

  • Bachelor's degree in a technical field, or equivalent related professional experience

  • 2+ years of software development experience building and supporting production systems and services

  • Experience building frontend applications in a modern web stack, with an emphasis on component-based architecture, state management, performance, and maintainability

  • Experience owning components or services within a team, with responsibility for implementation, testing, deployment, and operational support

  • Proficiency in software engineering fundamentals, including coding, data structures, algorithms, debugging, and version control, with working knowledge of system design, low-level design, API design, and data modeling

  • Experience developing reliable, scalable applications and working across more than one technical area or service, with the ability to diagnose issues and deliver maintainable solutions

Preferred Qualifications
  • Experience building software for advertising technology, marketplace, or other high-scale distributed platforms

  • Demonstrated strength in frontend engineering, including building responsive, accessible, and high-performing user interfaces with React.js and TypeScript

  • Experience contributing to architecture or design discussions for frontend applications, services, APIs, and data models within a team-owned domain

  • Demonstrated ability to improve service quality through observability, automation, performance tuning, and operational excellence practices

  • Familiarity with AI-driven systems, tools, or workflows, and experience applying AI/ML concepts in production-oriented software environments

  • Experience using data and metrics to inform engineering decisions, prioritize improvements, and measure the impact of technical solutions

Location:

Please note that this role is only available in Seattle, WA, in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role.

Check out our Purpose & Behaviors!

The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.

What Expedia Group employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom