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Director, Machine Learning Science - Marketing

Remote Posted Jul 24, 2026 0 views

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Job description

Expedia GroupJobs
Director Machine Learning Science - Marketing

Director Machine Learning Science - Marketing

Reposted Yesterday
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Seattle WA USA
Hybrid
224K-359K Annually
Expert/Leader
AdTech • eCommerce • Information Technology • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Lead the applied ML science team for Marketing to build production ML models and optimization systems for bidding and capital allocation. Own roadmap and OKRs drive experimentation and measurement ensure MLOps and production reliability hire and develop talent and partner cross-functionally to deliver measurable business 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.

Director Machine Learning Science - Marketing

Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds the models and optimization systems that decide how we bid on online advertising platforms and allocate marketing capital across channels and brands. The systems you own will directly shape the efficiency of one of the largest performance marketing programs in travel.

You will lead scientists and managers delivering production ML at scale own the roadmap and partner closely with Marketing Product Engineering Finance and Analytics leadership. The role suits a leader who pairs technical depth with a broad business perspective and a record of measurable impact.

In this role you will:

  • Own the strategy roadmap and OKRs for the machine learning systems powering Marketing

  • Design and deliver production-grade ML models and optimization systems that improve bidding capital allocation and ROAS

  • Apply rigorous experimentation and measurement to validate business impact

  • Recruit develop and retain applied machine learning scientists and managers and support their growth in a complex environment

  • Prioritize the team's investment across platform migration new capabilities and model innovation

  • Build partnerships across Product Engineering Finance Analytics and Marketing leadership and align priorities with multiple product teams

  • Navigate and influence the EG data platform and ML technology stack in line with company goals

  • Contribute to the broader data science and analytics community across EG

Minimum Qualifications:

  • Graduate degree in machine learning computer science statistics or a related quantitative field; or equivalent related professional experience. PhD preferred

  • 10+ years of relevant professional experience and 5+ years of people management experience including leading high-performing machine learning teams

  • Track record of delivering high-impact machine learning products from concept to production at scale

  • Depth in supervised and unsupervised learning statistics and experimentation including A/B testing power analysis Bayesian methods and causal inference

  • Command of the ML development lifecycle and MLOps: CI/CD testing observability and reliable releases

Preferred Qualifications:

  • Domain experience in bidding pricing elasticity modeling capital allocation search personalization ranking or recommendation

  • Exposure to deep learning LLMs retrieval-based systems and reinforcement learning

  • Proficient programming skills: Python preferred plus Java or Scala and SQL or equivalent query languages

  • Hands-on experience with ML and data engineering technologies such as Spark Databricks Kubernetes and GPU compute

  • Discipline in data and feature engineering (quality lineage documentation) and in model design with clear objectives constraints and risk guardrails

  • Proficient communication collaboration and mentoring with the ability to tailor complex concepts to technical and executive audiences

The total cash range for this position in Seattle is $224000.00 to $313500.00. Employees in this role have the potential to increase their pay up to $358500.00 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.

Skills Required

  • Graduate degree in machine learning computer science statistics or a related quantitative field or equivalent related professional experience
  • PhD in a related field
  • 10+ years of relevant professional experience
  • 5+ years of people management experience including leading high-performing machine learning teams
  • Track record of delivering high-impact machine learning products from concept to production at scale
  • Depth in supervised and unsupervised learning statistics and experimentation (A/B testing power analysis Bayesian methods causal inference)
  • Command of the ML development lifecycle and MLOps: CI/CD testing observability and reliable releases
  • Domain experience in bidding pricing elasticity modeling capital allocation search personalization ranking or recommendation
  • Exposure to deep learning LLMs retrieval-based systems and reinforcement learning
  • Proficient programming skills: Python preferred plus Java or Scala and SQL or equivalent query languages
  • Hands-on experience with ML and data engineering technologies such as Spark Databricks Kubernetes and GPU compute
  • Discipline in data and feature engineering including quality lineage and documentation and model design with objectives and risk guardrails
  • Strong communication collaboration and mentoring skills able to present complex concepts to technical and executive audiences

What the Team is Saying

Christos Rigas

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.

Expedia Group Insights

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

What We Do

Expedia Group Inc. is the global travel marketplace with one purpose: to help travelers explore the world one journey at a time. Expedia Group™ connects travelers partners and advertisers through its trusted brands leading technology and rich first-party data delivering predictive personalized experiences that shape the future of travel.Expedia Group’s ecosystem includes three flagship consumer brands – Expedia® Hotels.com® and Vrbo® – the largest B2B travel business and a premier advertising network. Guided by an experienced and passionate global team Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds locations and disciplines. Day to day that means sharing ideas taking ownership and solving problems together.

Expedia Group Offices

Hybrid Workspace

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

Typical time on-site: 3 days a week
HQSeattle WA
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