Senior Machine Learning Engineer

Senior ML/Gen AI Engineer

Join us to shape the future of travel. Our open culture celebrates differences and fosters an environment where everyone belongs.

Expedia Technology teams partner with our product teams to create innovative products, services, and tools to 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.

• Collaborate closely with ML Scientists to productize and scale ML models, from experimentation to robust production systems

• Design, build, and own large‑scale, distributed machine learning systems for training, deployment, inference, and monitoring

• Lead design discussions and architecture reviews; drive high‑impact engineering decisions for ML platforms and applications

• Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality

• Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle

• Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities

• Ensure scalability, observability, and fault‑tolerance across all components of the ML stack

• Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure‑as‑code, and monitoring

• Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals

• Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• 8+ years of experience in software/ML engineering with a proven track record of delivering ML solutions at scale

• Strong programming skills in modern languages such as Python, Scala, or Java

• Deep experience in building and maintaining production‑grade ML pipelines and infrastructure

• Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML

• Experience with big data ecosystems (Spark, Hive, Databricks, Delta Lake) and streaming technologies

• Proficient in working with ML frameworks like Tensor Flow, PyTorch, XGBoost, or similar

• Experience working in cloud‑based environments (AWS, GCP, or Azure) and with infrastructure‑as‑code tools

• Hands‑on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc.

• Proficient in containerization and orchestration technologies like Docker and Kubernetes

• Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI

• Experience designing or implementing multi‑agent architectures for autonomous collaboration and decision‑making

• Understanding of agent planning, memory, tool use, and self‑reflection mechanisms

• Experience building basic ML models

• Experience with automated testing across different layers (unit, integration, functional)

San Jose: $ to $; potential to $. Seattle: $ to $; potential to $.

We provide a full benefits package, including travel perks, generous time‑off, parental leave, a flexible work model, career‑development resources, medical/dental/vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, and a travel‑agent membership.

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.