Staff ML Engineer - Ads ML Infrastructure
Core
Design and develop secure, scalable back-end systems and ML serving platforms to deliver optimized advertising content to consumers while supporting scalable modeling and experimentation for Ad Platforms teams.
Role type
Staff ML Engineer (Ads ML Infrastructure)
Builds
High-performing ML serving platforms, feature stores, vector databases, and developer tooling for real-time and batch inference.
Domain
Advertising technology, distributed systems, and privacy-preserving machine learning.
Deliverable
infrastructure
Required skills
Large-scale low-latency ML serving, model quantization, tensor parallelism, inference optimization, distributed systems, GPU kernel optimization, federated learning, privacy-preserving ML, technical leadership, performance tuning, developer experience tooling.
Preferred skills
PhD or MS in computer science, 8+ years of ML and software engineering experience.
Technologies
ONNX Runtime, TensorRT, vLLM, Ray, RPC systems, Feature Stores, Vector DBs.
