Senior Machine Learning Engineer - Advertising Technology

Expedia Group

Senior Machine Learning Engineer at Expedia Group designing and deploying large-scale ML systems for advertising technology. Collaborating with cross-functional teams to optimize pricing, inventory, and operational processes.

Posted 5/21/2026full-timeSeattle • California, Washington • 🇺🇸 United StatesSenior💰 $184,500 - $258,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaKubernetesPythonPyTorchScalaSparkTensorflow

About the role

Key responsibilities & impact

Collaborate with Software Engineers and ML Engineers/Scientists to design and build large-scale batch and real-time ML systems for advertising use cases
Propose, lead, and deliver high-impact ML applications across pricing, inventory, content, and trust & safety, aligning technical decisions with business outcomes
Own the end-to-end lifecycle of mid- to large-scale ML projects, from system design and model development through deployment and production operations
Establish and promote ML engineering best practices, including model quality, MLOps, observability, and scalable system design
Mentor junior engineers and support teams in integrating ML into existing production systems
Partner with senior stakeholders across organizations to drive shared standards, communities of practice, and cross-team learning
Lead complex, cross-organizational initiatives to improve performance, reliability, and scalability of ML systems

Requirements

What you’ll need

8+ years (BS) / 6+ years (MS) of industry experience building and deploying machine learning models in production
Strong experience with distributed data processing and large-scale datasets (Spark preferred)
Proven ability to design, deploy, and operate real-time or near–real-time ML systems end to end, including feature pipelines, model training and validation, scalable inference, monitoring, drift detection, and retraining
Proficiency in Python with ML frameworks such as PyTorch or TensorFlow, and strong working knowledge of Scala or Java
Deep expertise in end-to-end MLOps, including training and inference workflows, CI/CD for ML, model versioning, and automated retraining
Strong ownership of ML observability, including model performance monitoring, data quality checks, drift detection, alerting, and root-cause analysis
Experience operating cloud-native ML platforms and distributed systems (AWS, SageMaker, Kubernetes, Spark, Databricks) with reliability, scalability, and cost awareness

Benefits

Comp & perks

Full benefits package
Exciting travel perks
Generous time-off
Parental leave
Flexible work model
Career development resources
Medical/dental/vision insurance
Paid time off
Employee Assistance Program
Wellness & travel reimbursement
Travel discounts
International Airlines Travel Agent (IATAN) membership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningMLOpsdistributed data processingreal-time ML systemsfeature pipelinesmodel trainingmodel validationscalable inferencemonitoringdrift detection

Soft Skills

collaborationmentoringleadershipcommunicationstakeholder engagementcross-team learningproblem-solvingownershipinitiativestrategic alignment