Description
Apple is hiring a founding ML Compute Efficiency Engineer to build systems that automate manual compute operations and improve the efficiency, reliability, and cost of machine learning workloads. The role combines AI automation, compute-governance tooling, workload scheduling and capacity allocation, GPU/TPU and Apple Silicon optimization, telemetry and anomaly detection, and hands-on collaboration with senior ML efficiency engineers. Candidates need a relevant computer science or engineering degree, at least six years of production software or infrastructure experience, strong Python or automation skills, SQL, and experience with large-scale compute or cloud systems.
