Senior Machine Learning Engineer

Senior ML/Gen AI Engineer

Strategic Partnerships & Affiliates is part of the Expedia Product & Technology division of Expedia Group. We build the next‑generation, scalable B2B partnership platform that powers hundreds of thousands of demand partners across the industry. Our goal is to provide innovative partner tools and solutions that help businesses of all sizes recommend Expedia Group brands to their audiences while growing their own businesses.

We work with a geo‑distributed, cross‑functional team of 50+ engineers to design and develop solutions for complex problems that have a wide‑reaching business impact.

• 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 with 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 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 (e.g., 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 such as 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).

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.

The total cash range for this position in San Jose 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…