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Expedia Machine Learning Jobs (NOW HIRING)

Principal Machine Learning Scientist, GenAI This role sits within Expedia's Traveler & Partner Service Platform (TPSP) Product & Technology organization, which builds the core capabilities and ...

A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Expedia Group's Service ...

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel ... Design, develop, and implement analytical models, leveraging statistical and machine learning ...

A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Expedia Group's Product ...

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel ... Experience using AI or machine learning tools in payments, financial operations, or e-commerce ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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 Aug 6, 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?

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)

Expedia

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago


Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th 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.

Sr. Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)

We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology.


Our Growth Marketing team is redefining how AI-driven, agentic automation meets data-powered marketing. We build production-ready multimodal LLMs, GenAI, and agentic architectures that power personalized travel discovery, real-time cross-platform campaign execution, and interactive chatbots/UIs. For example, "Trip Matching" on Instagram transforms inspiring reels and posts into instant hotel recommendations, powered entirely by our production AI.
We are looking for a hands-on Senior Machine Learning Scientist who thrives on building end-to-end systems, from backend architecture to user-facing interfaces, including agentic UX/UI, observability, and product integration.
In this role, you will:

  • Architect, build, and ship enterprise-scale GenAI, RAG, and multi-agent systems end-to-end, including frontend, backend, and user interfaces.

  • Design hierarchical multi-agent ecosystems with Interactive Generative UIs, dashboards, and safety/observability features (e.g., UI is generated on-the-fly by an agent in response to what the user need)

  • Develop memory architectures: short-term contextual memory, long-term episodic memory, knowledge graph augmentation, and adaptive retrieval systems.

  • Lead hands-on implementation of RAG pipelines, vector memory systems, and agent orchestration frameworks (LangChain, LangSmith, AutoGen, OpenAI/Claude Agents SDK, etc) and advanced evaluation platforms leveraging LLM-as-a-Judge, synthetic data generation, and agent trajectory assessment.

  • Train, fine-tune, adapt (LoRA/QLoRA/adapters), and distill LLMs, including RLHF/DPO, for production-ready chatbots and GenAI products.

  • Build multimodal pipelines integrating vision, audio, text, and structured data, optimizing for scalability and latency.

  • Build and deploy large-scale behavioral embedding systems that learn traveler representations from billions of search, booking, web, app, loyalty, and marketing interactions, leveraging distributed representation learning and real-time serving to power personalization, audience targeting, propensity models, and next-best-action recommendations.

  • Collaborate with product, and engineering teams to create intuitive, user-friendly interfaces and ensure seamless end-to-end user experiences.

  • Mentor engineers and ML scientists, set technical standards, conduct design reviews, and contribute to the organization's technical maturity.

  • Represent the Org externally via open-source contributions, patents, conferences, and publications.

Experience and Qualifications:

  • 10+ years in software engineering, ML, and AI systems, with production GenAI deployments.

  • Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems.

  • Solid foundation in NLP and experience with multimodal AI systems (vision-language models)

  • Proven experience building and operating multi-agent AI platforms with observability and safety frameworks (self-hosted orchestration using frameworks such as LangGraph integrated with LLM APIs such as Claude).

  • Strong background in distributed GPU training and inference, cloud infrastructure (AWS/Azure), container orchestration, and ML tooling.

  • Demonstrated ability to lead end-to-end AI product development and collaborate with product and design teams to ship user-facing features.

  • Excellent communication skills, able to present complex architecture and product concepts to executives.

Nice To Have:

  • PhD in Computer Science, Machine Learning, or a related field.

  • Recognized industry presence through publications, patents, talks, or open-source contributions in LLMs, RAG, or agentic systems.

  • Experience integrating multimodal LLM systems (vision, audio, music, structured data).

  • Leadership in GenAI safety, evaluation, testing, and monitoring.

  • Strong cross-disciplinary fluency in modeling, infrastructure, product, and design.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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.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.

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