Apple
Site Reliability Engineer - ML, Apple Ads
$150K–$225K
New York City, New York · Full-time · Posted Sep 9, 2026
- Experience
- 3+ years in internet-facing backend production systems, SRE, or ML Operations focused roles on large-scale distributed cloud infrastructure.
About the job
Build and operate reliable, scalable infrastructure and platform tooling for machine-learning training, inference, and serving workloads across Apple Ads.
What you'll do
- Operate distributed systems using AWS managed services and ML technologies.
- Develop automation and internal tooling to improve reliability, cost-efficiency, and operational visibility.
- Manage infrastructure as code and participate in architecture, troubleshooting, incident response, and postmortems.
What they ask for
- Proven expertise with AWS-managed infrastructure.
- Familiarity with ML lifecycle technologies such as NVIDIA Triton, AnyScale Ray, or Apache Airflow.
- Strong programming skills in Python, Java, Rust, Go, or similar; hands-on Linux experience and deep knowledge of its internals.
- Experience with Terraform and SRE practices, including monitoring, incident response, root cause analysis, error budgets, and SLAs/SLOs.
Nice to have
- Experience managing Kubernetes clusters at scale or troubleshooting distributed systems under real-world load.
- Knowledge of GPU hardware, high-performance fabrics, or AWS services; AWS certifications are a plus.
Pay
USD $150,400 and USD $225,300 (base salary range)
Tools
AWS, EKS, ElasticCache, Ray, Kubernetes, NVIDIA Triton Inference Server, Terraform, Python
AI focus
Build and operate infrastructure supporting machine-learning training, inference, and serving; work with ML platform tooling and technologies.
Model-written summary · the original posting is authoritative