Edge AI Engineer Real-Time On-Device ML

A leading home security innovator is seeking an Embedded Machine Learning Engineer to enhance on-device inference for outdoor monitoring. This role involves optimizing ML models for embedded systems, collaborating across teams to improve deployment impact, and driving performance standards. Candidates should have over eight years of experience in performance engineering, strong C/C++ skills, and a background in optimizing ML inference. This position offers a hybrid work model and a comprehensive benefits package. #J-18808-Ljbffr