Senior Staff Machine Learning Systems Engineer, Ads ML Platform
$292K–$410K
Remote - United States +1 · Remote · Senior Staff · Full-time · Posted Aug 25, 2026
- Location
- Remote - United States
New York, NY, United States - Experience
- 8+ years in a relevant systems or platform field, plus 4+ years building or operating production ML or data infrastructure; the posting does not state alternatives.
About the job
Leads the technical strategy and development of infrastructure and workflows that help Ads ML engineers build features, prepare training data, run experiments, and move models into production.
What you'll do
- Set architecture and technical standards for feature and training-data systems, including quality, lineage, observability, and online/offline consistency.
- Build reusable platform abstractions and automation, and coordinate platform initiatives across Ads, ML Platform, Data Platform, and partner teams.
- Mentor senior engineers and extend platform strategy toward model serving and online experimentation.
What they ask for
- 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
- 4+ years building or operating production ML infrastructure, feature platforms, training-data systems, experimentation systems, or large-scale data pipelines.
- Experience leading broad, ambiguous, multi-team platform initiatives from strategy through adoption.
- Experience building platforms used by teams developing production ML systems.
Pay
$292,500 — $409,500 USD (base salary)
Tools
Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery
AI focus
Builds production ML platform infrastructure and workflows for feature development, training data, offline experimentation, and eventually serving and online experimentation.
Model-written summary · the original posting is authoritative