Deep Learning Software Engineer, CoreMLTools

Design and develop the neural network export pipelines from machine learning frameworks (such as PyTorch, TensorFlow, Torch) to the CoreML model format. Design and implement graph optimization algorithms to simplify and make deep learning computational graphs more efficient. Work closely with researchers and app developers to optimize their deep learning model deployments on device, by implementing new NN ops, optimizations, graph passes, etc in Apple’s ML stack. Extend and customize the CoreMLTools conversion pipeline for features such as quantization, sparsity, pruning etc. Contribute and be an active member of the open source CoreMLTools community on Github, interacting with developers, addressing GitHub issues etc. Contribute in simplifying and maintaining the CI infrastructure for CoreMLTools

According to JobzMall, the average salary range for a Deep Learning Software Engineer, CoreMLTools in 2651 NE 49th St, Seattle, WA 98105, USA is $98,000 to $118,000 per year. This range is based on the salaries of current Deep Learning Software Engineer roles found in the Seattle area. The salary range is dependent on experience level and other factors, such as the size of the company and the specific role.

Apple, Inc. engages in the design, manufacture, and marketing of mobile communication, media devices, personal computers, and portable digital music players. It operates through the following geographical segments: Americas, Europe, Greater China, Japan, and Rest of Asia Pacific. The Americas segment includes both North and South America. The Europe segment consists of European countries, as well as India, the Middle East, and Africa. The Greater China segment comprises of China, Hong Kong, and Taiwan.