Senior Machine Learning Systems Engineer, Ads ML Experience Platform

📋 Description

• Design and build large-scale offline ML experimentation platforms for reproducible research, model
• Develop production-grade training orchestration frameworks for distributed training, hyperparameter
• Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning
• Collaborate with ML engineers and researchers to improve experimentation velocity and operational
• Create automated workflows for model promotion, rollback, compliance validation, and continuous
• Design an agentic AI execution platform supporting autonomous and human-in-the-loop workflows

🎯 Requirements

• 5+ years in infrastructure/platform engineering or large-scale distributed systems.
• 2+ years building/operating production ML infrastructure, SDKs, APIs, or self-service AI tooling.
• Experience with distributed data processing (e.g., Spark, Flink, Ray).
• Experience with orchestration/workflow tech (Kubeflow, Argo, Airflow).
• Experience building offline ML experimentation platforms, registries, tracking systems, or training
• Experience with agentic AI systems, multi-agent orchestration, autonomous workflows, and related

🎁 Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs for workspace, development, and caregiving
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits