Staff Machine Learning Engineer, Ads ML Efficiency

Reddit is hiring a Staff Machine Learning Engineer for the Ads ML Efficiency team. The role involves designing and building systems to improve ML training and inference efficiency, developing tooling for debugging and profiling, optimizing GPU utilization, and leading cross-functional initiatives to improve ML platform scalability and cost efficiency. Required qualifications include 5+ years of software engineering experience, proficiency in Python and a systems language, and experience with ML,

Required: BS/MS/PhD in CS or related, 5+ years software engineering, strong Python, proficiency in at least one systems language (Go, C++, Rust, Java), experience building distributed systems at scale, ML infrastructure, performance engineering, and debugging. Preferred: experience with large-scale recommendation/ranking/generative AI, distributed training frameworks (PyTorch Distributed, Ray, Tensorflow, Spark), GPU architectures, cloud cost optimization, and real-time ML inference.