Expedia Machine Learning Jobs (NOW HIRING)

• Serve as a trusted product security architecture advisor to product, engineering, and platform teams, helping them design secure, highly available, and privacy-aware products and services.

• Lead and facilitate threat modeling and security assessments for new and evolving products, services, and platforms, translating findings into clear, actionable recommendations.

• Partner closely with product and engineering leaders to embed security requirements into product roadmaps, design reviews, and delivery processes without slowing down innovation.

• Provide thought leadership around enabling and applying AI across the Product Security org.

• Be a change agent influencing and scaling the adoption of AI-enabled security tooling and best practices across the product security organization.

• Drive continuous verification of product security controls and requirements through AI-enabled automation and integration with existing product security tooling.

• Communicate complex product security and architecture trade-offs in a clear, outcome-focused way to both technical and non-technical stakeholders, from senior ICs to senior leadership.

• Mentor and coach product managers, engineers, and architects to raise the bar on product security literacy and design thinking across the organization.

• Contribute to the broader Expedia Group security strategy by identifying emerging product security risks and technology trends and proposing pragmatic, long-term architecture approaches.

• Contribute to creating a culture of continuous learning, data-driven decisions, and improvements.

• Collaborate across IT and Information Security teams to ensure end to end coverage across the product lifecycle - from concept and design through build, launch and operations.

Minimum Qualifications

• Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience.

• 10+ years of product security and development experience

• Extensive experience performing application threat modeling

• Extensive experience conducting architecture reviews to find and evaluate application and infrastructure security risks

• Significant experience in the last several years applying Generative AI in software development and for end users, ideally in the context of a medium or large enterprise.

• Deep understanding of modern product development practices and CI/CD and how AI can change and improve these practices to increase both quality and velocity.

• Familiarity with 'agentic' architectures including SDKs, context engineering, MCPs, authorization.

Preferred Qualifications:

• Expertise in public cloud platforms (AWS is preferred), containerization and orchestration (Kubernetes, Docker), and related technologies.

• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.

• Track record of setting and evolving security architecture standards, patterns, and guardrails for complex, multi-tenant or multi-domain platforms, and driving their adoption across diverse engineering teams.

• Experience operating product security at scale in cloud-native environments (such as large microservices architectures), including secure service-to-service communication, token-based auth, and secret and certificate management.

• Deep experience conducting and scaling threat modeling, security design reviews, and architecture risk assessments, and using insights to shape platform capabilities, reusable controls, and security automation.

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including leveraging AI/MLenabled code analysis, anomaly detection, or security automation; safely integrates and operates AI/MLenabled solutions that improve security posture, detection, and response.

• Demonstrated experience taking products from concept to scaled adoption by partnering with product and engineering leadership to embed security requirements into product vision, architecture, and roadmaps, and to measure and report on security outcomes.