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Principal ML Scientist

Remote Posted Jul 16, 2026 0 views

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Job description

Expedia GroupJobs
Principal ML Scientist

Principal ML Scientist

Posted 3 Hours Ago
Be an Early Applicant
Seattle WA USA
Hybrid
231K-370K Annually
Expert/Leader
AdTech • eCommerce • Information Technology • Travel • Generative AI
Powering global travel for everyone everywhere.
The Role
Lead strategy and execution for LLM-powered AI agent servicing and ML personalization across customer service. Define ML vision design and productionize state-of-the-art models run experiments and A/B tests establish responsible-AI and MLOps best practices mentor scientists and partner cross-functionally to drive measurable product and operational impact.
Summary Generated by Built In

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.

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 experiences that power customer service across the Expedia ecosystem. TPSP enables both travelers and partners to receive high-quality efficient service through a combination of human support and AI-powered experiences.
We are looking for a highly influential science leader to help drive the technical strategy and execution for LLM-powered AI Agent servicing for Expedia travelers and partners with strong traditional ML based personalization skills along with Agentic AI skillsets within the servicing domain. This role will define and lead the transformation towards scalable voice and chat based self-service experiences powered by AI agents—reducing customer effort while improving resolution speed consistency customer satisfaction and operational efficiency.
As a Principal Machine Learning Scientist you will partner with key senior leaders to architect the long-term science vision for customer AI servicing drive complex cross-functional execution and build a culture of scientific thinking research and innovation in the organization. You will operate as an indispensable leader shaping how agentic AI is designed governed measured and scaled across TPSP.

What you’ll do
  • Define and lead the ML strategy for one or more complex product or platform areas (e.g. personalization search & recommendations pricing fraud/risk or generative AI–powered experiences).

  • Formulate ill-defined business problems into well-posed ML problems selecting appropriate modeling approaches and success metrics.

  • Design and implement state-of-the-art ML models (e.g. deep learning representation learning causal inference bandits LLM/GenAI where appropriate) and own them through production.

  • Partner closely with engineering to productionize models improve data and feature pipelines and ensure reliability latency and scalability requirements are met.

  • Lead experiment design and evaluation including A/B tests and offline evaluations; drive decisions with rigorous statistical analysis.

  • Proactively identify opportunities where ML can unlock new customer and business value build business cases and influence product and leadership roadmaps.

  • Establish and champion best practices for model development evaluation monitoring and responsible AI (fairness robustness privacy and safety).

  • Provide technical leadership and mentorship to other ML scientists data scientists and ML engineers through design reviews pairing and informal coaching.

  • Communicate complex technical topics in clear concise ways to executives product leaders and non-technical stakeholders influencing direction across teams and organizations.

  • Collaborate with platform and infra teams to evolve ML tools feature stores experimentation platforms and model monitoring capabilities.

Minimum Qualifications
  • Bachelor’s degree in Computer Science Statistics Applied Mathematics Electrical Engineering or a related technical field; or equivalent practical experience.

  • 10+ years of experience in applied ML / data science including significant experience owning production models in complex domains.

  • Deep expertise in machine learning algorithms and statistical modeling such as gradient-boosted trees deep learning representation learning or similar.

  • Strong Python skills and experience with major ML libraries and frameworks (e.g. PyTorch TensorFlow JAX scikit-learn) and data tools (e.g. Spark SQL).

  • Proven track record of shipping production ML systems at scale and driving measurable product or business impact.

  • Experience designing and interpreting experiments (A/B tests) with solid grounding in statistics (estimation hypothesis testing causal inference basics).

  • Demonstrated ability to lead cross-functional initiatives with product engineering and business partners without formal authority.

  • Excellent communication skills with the ability to explain complex ML concepts to diverse audiences and drive alignment.

Preferred Qualifications
  • Advanced degree (MS or PhD) in Computer Science Machine Learning Statistics Operations Research or a related quantitative field.

  • Experience in one or more relevant domains such as:

    • Personalization search & recommendations ranking or relevance

    • Marketplace optimization pricing or yield management

    • Fraud/risk modeling anomaly detection

    • Natural language processing / LLMs / generative AI

  • Experience architecting end-to-end ML systems: data/feature pipelines model training evaluation deployment and monitoring in distributed environments.

  • Demonstrated impact in technical leadership: setting standards influencing roadmaps across teams and mentoring senior ICs.

  • Familiarity with MLOps practices and platforms (feature stores CI/CD for models model monitoring & alerting).

  • Publications in top-tier ML/AI conferences or journals or equivalent evidence of thought leadership (talks patents open-source).

The total cash range for this position in Seattle is $231000.00 to $323500.00. Employees in this role have the potential to increase their pay up to $369500.00 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.

Skills Required

  • Bachelor's degree in Computer Science Statistics Applied Mathematics Electrical Engineering or related field (or equivalent practical experience)
  • 10+ years of experience in applied ML / data science including significant experience owning production models
  • Deep expertise in machine learning algorithms and statistical modeling (e.g. gradient-boosted trees deep learning representation learning)
  • Strong Python skills
  • Experience with major ML libraries and frameworks (PyTorch TensorFlow JAX scikit-learn)
  • Experience with data tools (Spark SQL)
  • Proven track record of shipping production ML systems at scale and driving measurable impact
  • Experience designing and interpreting experiments (A/B tests) and solid grounding in statistics
  • Demonstrated ability to lead cross-functional initiatives with product engineering and business partners
  • Excellent communication skills for technical and non-technical audiences
  • Advanced degree (MS or PhD) in CS ML Statistics OR related quantitative field
  • Experience in personalization search & recommendations ranking marketplace optimization pricing or fraud/risk modeling
  • Experience architecting end-to-end ML systems: data/feature pipelines training deployment and monitoring in distributed environments
  • Familiarity with MLOps practices and platforms (feature stores CI/CD for models model monitoring & alerting)
  • Publications talks patents or open-source contributions demonstrating thought leadership

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle BenefitsTravel and wellness reimbursements employee travel discounts and flexible stipends are presented as standout perks that add meaningful lifestyle value. Mental-health resources and pet support broaden the package beyond core pay.
  • Parental & Family SupportPaid parental leave for all parents with additional time for birthing parents plus adoption surrogacy and caregiver support are highlighted as generous and accessible. Immediate eligibility for parental leave reinforces the family-friendly design.
  • Healthcare StrengthMedical dental and vision coverage is paired with inclusive healthcare extending to partners and covering fertility and transgender services. Access to mental-health platforms complements the core medical offering.

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The Company
HQ: Seattle WA
16000 Employees
Year Founded: 1996

What We Do

Expedia Group 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. 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™.

Why Work With Us

As travelers and technologists we are passionate about making travel more seamless accessible and memorable. We embrace different perspectives celebrate new ideas and empower every Expedian to drive meaningful change. The experiences we create bridge divides and broaden horizons – helping create unforgettable memories through travel.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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