Senior Machine Learning Engineer

Senior ML/Gen AI Engineer Introduction to 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 single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Strategic Partnerships & Affiliates team is part of Expedia Product & Technology and focuses on building a next‑generation, scalable B2B partnership platform for a diverse ecosystem of demand partners. You will work with a geo‑distributed, cross‑functional team of 50+ engineers to design and develop complex solutions that have wide business impact. Responsibilities 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 the 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. Minimum Qualifications Associate or master’s degree in computer science, engineering, or a 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 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. Proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, or similar. Experience in cloud‑based environments (AWS, GCP, or Azure) and infrastructure‑as‑code tools. Hands‑on experience with orchestration tools like Flyte, Airflow, or Kubeflow. Proficiency with containerization and orchestration technologies such as Docker and Kubernetes. Preferred Qualifications 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). Pay & Benefits Seattle, WA: Total cash range$184,500to$258,000.Potential to increase up to$295,000 based on performance. SanJose, CA: Total cash range$199,000to$278,500.Potential to increase up to$318,500 based on performance. Benefits: Medical, dental, and vision coverage; paid time off; parental leave; flexible work model; career development resources; travel reimbursement; travel discounts; International Airlines Travel Agent membership; employee assistance program. Accommodation Requests 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 process. EEO Statement Expedia Group 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. #J-18808-Ljbffr 11105 Expedia, Inc.