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

Remote Posted Jul 28, 2026 0 views

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

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

Reposted 3 Hours Ago
Be an Early Applicant
Seattle WA USA
Hybrid
173K-277K Annually
Senior level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Lead end-to-end design build and deployment of production-scale GenAI RAG and multi-agent systems for growth marketing. Responsibilities include training and adapting LLMs (LoRA/QLoRA RLHF/DPO) building multimodal pipelines vector memory and embedding systems agent orchestration observability/safety and mentoring teams while partnering with product and design.
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.

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 $173000.00 to $242500.00. Employees in this role have the potential to increase their pay up to $277000.00 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

  • 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
  • Hands-on experience with agent orchestration frameworks (e.g. LangChain LangSmith AutoGen) and LLM APIs
  • Experience implementing RAG pipelines vector memory systems and retrieval/embedding architectures
  • Experience training fine-tuning and adapting models using LoRA/QLoRA/adapters and model distillation
  • Strong background in distributed GPU training and inference infrastructure
  • Experience with cloud infrastructure (AWS or Azure) container orchestration and ML tooling
  • Demonstrated ability to lead end-to-end AI product development and ship user-facing features
  • Excellent communication skills able to present complex architecture and product concepts to executives
  • Proven ability to build large-scale behavioral embedding systems and real-time serving for personalization/targeting
  • PhD in Computer Science Machine Learning or related field
  • Recognized industry presence via publications patents talks or open-source contributions in LLMs RAG or agentic systems
  • Experience integrating multimodal LLM systems including vision audio music or structured data
  • Leadership experience in GenAI safety evaluation testing and monitoring
  • Cross-disciplinary fluency across modeling infrastructure product and design

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.

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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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