Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Core
Design and build large-scale offline ML experimentation platforms, production training orchestration frameworks, and agentic AI execution platforms to accelerate the Ads ML lifecycle.
Role type
Senior IC machine learning systems engineer (ML platform & agentic AI)
Builds
Scalable platform services, intelligent automation, and developer-centric tooling for ML development
Domain
Internet / Advertising / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
large-scale distributed systems, production ML infrastructure, workflow orchestration, distributed data processing (Spark/Flink/Ray), modern orchestration frameworks (Kubeflow/Argo/Airflow), offline ML experimentation platforms, model registries, agentic AI systems
Preferred skills
end-to-end model development cycles at scale, multi-agent orchestration, autonomous workflows, agent communication/runtime frameworks
Technologies
Spark, Flink, Ray, Kubeflow, Argo, Airflow, MCP, A2A
Responsibilities
Design and build large-scale offline ML experimentation platforms; Develop production-grade training orchestration frameworks; Build infrastructure for experiment tracking, metadata management, and model registries; Partner with ML engineers to improve experimentation velocity; Build automated workflows for model promotion and compliance; Design and build an agentic AI execution platform
Seniority
Senior, hands-on IC
