Senior Machine Learning Scientist- Search, Recommendations AI Engineering

Senior Machine Learning Scientist – Search, Recommendations, & AI Engineering

The Multi-Product AI team at Expedia Group enables unforgettable travel experiences. The team’s responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, we’re responsible for optimizing our interactions with travelers across this domain, including cache optimization, price forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI and Agentic AI solutions.

We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions.

• Enhance our recommendations across both agentic & traditional search placements
• Design and implement agentic AI systems and define best practices for the team
• Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration
• Lead end-to-end agent development life cycles, including prompt engineering, RAG, evaluation, deployment, and monitoring
• Utilize MCP for enterprise data/tool connectivity
• Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises
• Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities
• Stay abreast of developments in machine learning & AI via publications and conferences

• Bachelor's, Master’s, or PhD degree in a quantitative field
• 6+ years of industry experience as an AI Engineer or similar role
• 2+ years experience as a technical lead of Agentic AI projects
• Expertise with Python & AI libraries/frameworks such as Pytorch, Tensor Flow, Lang Chain, Llama Index, Hugging Face
• Proven ability to build, deploy, and maintain AI projects in production environments
• Strong experience with LLM orchestration, prompt engineering, RAG pipelines

• Experience with ranking & recommendation systems
• Publications in top-tier ML conferences or journals
• Experience building or integrating MCP servers for tool exposure
• Familiarity with multi-agent/hierarchical agent systems

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

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

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, or veteran status. 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.