Staff ML Engineer - Ads ML Infrastructure
Core
Design and develop secure, scalable back-end systems and foundational AI/ML platforms to enable optimized advertising content delivery and model lifecycle management.
Role type
Staff ML Engineer (Ads ML Infrastructure)
Builds
Large-scale, low-latency ML serving platforms, Feature Stores, Vector DBs, and inference optimization tooling for Search Ads, App Store, and Apple News.
Domain
Advertising technology, distributed systems, and privacy-preserving machine learning.
Deliverable
infrastructure
Required skills
Large-scale ML serving platform design, model quantization, tensor parallelism, inference optimization, distributed systems, GPU kernel optimization, federated learning, privacy-preserving ML, technical leadership, developer experience tooling.
Preferred skills
PhD or MS in computer science, 8+ years of ML and software engineering experience.
Responsibilities
Design and develop secure and scalable back-end systems, define and refine architectures for ad network challenges, build foundational AI/ML platforms and tooling, lead evaluation and adoption of inference technologies, mentor engineers through code/design reviews.
Seniority
Staff, hands-on IC with mentorship
