Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Core
Building foundational tooling and agentic AI platforms to accelerate the Ads ML lifecycle (experimentation, training, deployment, evaluation) at scale.
Role type
Senior IC machine learning systems engineer (ads ML platform)
Builds
Large-scale offline ML experimentation platforms, production training orchestration frameworks, agentic AI execution platforms, and developer-centric tooling.
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, modern orchestration frameworks, offline ML experimentation platforms, agentic AI systems
Preferred skills
end-to-end model development cycles, multi-agent orchestration, autonomous workflows
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 supporting autonomous and human-in-the-loop workflows.
Seniority
Senior, hands-on IC
