Meta in Menlo Park seeks a Systems ML Engineer to design scalable ML training and inference systems, build data pipelines, and optimize serving latency. You will collaborate with researchers and product engineers to translate model requirements into high-throughput infrastructure.
The role involves writing production-grade Python and C++/Java, profiling performance, building tests, and participating in on-call rotations to ensure reliability across billions of ML-powered experiences.
#J-18808-LjbffrGenAI ML Systems Engineer: Scalable Training & Inference in menlo park at Unknown Company
This position is listed as full time and onsite.