Senior Machine Learning Scientist - Agentic Experience

About Expedia Group

Expedia Group helps 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.

Our five core Behaviors—Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together—foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work.

About the Team

Expedia Technology teams partner with Product teams to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Traveler Discovery & Planning team is at the forefront of innovation in AI-driven agentic systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.

We're focused on Agentic Experiences that revolutionize traveler experiences through autonomous, intelligent agent systems. From building cutting-edge conversational AI that anticipates traveler needs to developing proactive solutions for personalized trip planning, this work will shape the future of travel assistance and directly impact millions of users worldwide.

About the Role

In this role, you will:

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
• Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
• Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
• Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
• Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
• Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
• Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
• Mentor junior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology

Minimum Qualifications

• 8+ years of related industry experience
• Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
• Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
• Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
• Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring

Preferred Qualifications

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
• Experience in the travel or e-commerce industry
• Publications in top-tier ML conferences or journals
• Patented inventions, pending and issued
• Contributions to open-source ML projects
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

Compensation

San Jose: $187,000.00 to $261,500.00, with potential to reach $299,000.00 based on ongoing, demonstrated, and sustained performance.

Seattle: $173,000.00 to $242,500.00, with potential to reach $277,000.00 based on ongoing, demonstrated, and sustained performance.

Austin: $173,000.00 to $242,500.00, with potential to reach $277,000.00 based on ongoing, demonstrated, and sustained performance.

Starting pay 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
• Employee Assistance Program
• Wellness and travel reimbursement
• Travel discounts
• 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.

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.

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/.