Principal Machine Learning Scientist - Search and Recommendations

11105 Expedia, Inc.; Washington; On-site; USD 224,000 - 387,000; Full time

Benefits offered by this job

Medical, dental, and vision

Paid time off

Wellness program

Travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group seeks a Principal Machine Learning Scientist to lead research and productionization of AI models for Travel Search & Discovery. You will design scalable multi-modal retrieval and ranking systems and mentor a team of scientists across search and recommendation platforms.

The role requires a PhD/MS with 10+ years in industry, strong Python and ML frameworks (TensorFlow, PyTorch, JAX), plus experience with large data systems and rigorous evaluation.

Qualifications

• PhD or MS in CS/ML or related field.
• 10+ years of industry experience with production-grade systems.
• Experience in large-scale search, recommendation, or personalization.
• Strong understanding of intent understanding, retrieval, deep learning for recommendations.
• Proficiency in Python and ML frameworks.
• Experience with distributed systems and big data tech.
• Familiarity with A/B testing and experimentation.
• Ability to work with large datasets with bias/fairness/privacy.
• Excellent communication and mentoring skills.
• Passion for user-centric AI products and advancing state-of-the-art.

Responsibilities

• Drive research, design, and deployment of ML solutions for large-scale search and recommendations.
• Architect hybrid multi-modal retrieval frameworks for text, image, and structured data.
• Develop and optimize multi-stage ranking pipelines using deep learning and generative methods.
• Lead intent understanding using queries, signals, and context.
• Advance personalization with embeddings and user-item modeling.
• Mentor and guide a team of scientists; collaborate with engineering and product teams.

Skills

Deep learning

Search systems

Recommender systems

Python

TensorFlow

PyTorch

JAX

Spark

Hadoop

AB testing

Experimentation

Communication

Mentoring

Fairness

Education

PhD or MS in CS/ML

Tools

TensorFlow

PyTorch

JAX

Spark

Hadoop

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.

Introduction to the Team

Expedia Technology teams partner with our Product teams 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 looking for a Principal Machine Learning Scientist to join our growing Travel Search & Discovery team.

This Principal will lead the development and optimization of Expedia's Search & Recommendation AI models including natural language search, multi-modal search, Recommendations, and generative AI–based discovery. The ideal candidate for this position is a true deep learning expert who can develop effective AI solutions for search and recommendations. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia's AI-first vision.

In this role, you will:

• Drive the research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems
• Architect hybrid multi-modal retrieval frameworks, combining text, image, and structured data to power relevant and diverse content discovery
• Develop and optimize multi-stage ranking pipelines, leveraging deep learning, generative retrieval, and other advanced algorithms to maximize relevance and engagement
• Lead efforts on intent understanding, utilizing user queries, behavioral signals, and context for superior search and recommendation accuracy
• Advance personalization strategies using embeddings, user-item modeling, and context-aware algorithms to tailor content to individual users
• Pioneer cutting-edge sequential recommender systems that account for evolving user preferences, session context, and temporal dynamics
• Design robust offline and online evaluation methodologies, including A/B testing, counterfactual estimation, and metric development
• Collaborate closely with cross-functional engineering and product teams to translate business needs into machine learning problems and production-ready solutions
• Mentor and guide a team of scientists, driving best-in-class research and deployment practices

Minimum Qualifications:

• PhD, or MS, in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
• 10+ years of related industry experience
• Experience building production-grade search, recommendation or personalization systems
• Strong understanding of intent understanding techniques, retrieval methods, deep learning for recommendations, reinforcement learning, and causal inference
• Proficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorch
• Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop)
• Familiarity with A/B testing and experimentation methodologies
• Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy
• Excellent communication skills for both technical and non-technical audiences
• Demonstrated ability to mentor and technically lead research or engineering teams
• A passion for building user-centric AI products and a keen curiosity about advancing the state-of-the-art in search and recommendations

Preferred Qualifications:

• Experience in the travel or e-commerce industry
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Publications in top-tier ML conferences or journals
• Contributions to open-source ML projects
• Experience in personalization systems
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, 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 San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, 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

• 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.

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.

Expedia Group Power

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers.

Brands

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™.

Contact and disclaimer

For more information, visit www.expediagroup.com. 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 to whom we have not made prior contact. Our email domain is @expediagroup.com.