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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular ML title, mid-level experience, metro location, and broad production ML requirements.
Core ML engineering skills are broadly transferable despite travel advertising domain specifics.
Mandatory production ML ownership and system-design expectations create moderate shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and maintain scalable, resilient, and secure machine learning services powering Expedia Group products.
Own end-to-end lifecycle of ML features and services including data preparation, training, deployment, monitoring, and incident response.
Collaborate with cross-functional teams to translate business needs into robust ML system designs and improve operational excellence and reliability of ML pipelines.
Minimum Requirements
Bachelor’s degree in Computer Science or related technical field, or equivalent experience.
2+ years of relevant professional experience in machine learning engineering or related roles.
Proficiency in a modern programming language; experience with system design, API design, and data modeling for ML-driven microservices.
Experience owning ML features/services through development to production support including monitoring and troubleshooting.
Ideal Candidate Profile
Experienced in designing scalable, fault-tolerant ML services with high availability and performance focus.
Strong operational expertise in ML production environments using metrics, observability, automation, and best practices like canary releases.
Comfortable working across multiple technical domains including data pipelines, model training, and serving APIs, and adapting quickly to evolving ML frameworks and AI tooling.