Posted: Aug 12, 2020Role Number:200186087iPhone is the most popular camera in the world. The precise integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Intelligent System Experience (ISE) Organization focuses on user-experience by demonstrating computer vision and image processing through machine learning. Our team works hard on products that ship to millions of people. We are looking for people who want to do the same. System Intelligent and Machine Learning (SIML) is responsible for machine learning solutions for Apple's image and video processing technologies, including features such as face recognition and scene classification in Photos, macOS and iOS system frameworks, and many other internal tools and prototypes under development.Key Qualifications
DescriptionOur team is now hiring senior software R&D engineers to develop frameworks and tools to accelerate and help reduce the footprint of deep learning applications on iOS and other platforms in the Apple ecosystem. You will help develop software features in C++, Python, and other environments, as well as interfacing and engaging with deep learning research to reduce the computational complexity of the models, while preserving the quality metrics. You should be familiar with design solutions that advance the state of the art in any of several fields, such as novel algorithms for optimized deep learning inference and machine learning. Our team combines research and development in a fast-paced environment to produce the products that millions of our customers love to use and rely on every single day. In this position you will: Design develop and optimize software for on-device deep learning inference Map deep learning network operations to dedicated accelerators Implement algorithms and APIs to solve on-device deep learning problems Optimize math-intensive routines in, perform profile-guided optimization Optimize neural network architectures implementing tools to perform neural network quantization Implement compiler transformations, heuristics and optimizations to improve scheduling of neural network on various computational backends such as CPUs and GPUs and custom accelerators Design features in deep learning frameworks in collaboration with machine learning application teams Write technical documentation and support client machine learning application teams.Education & ExperienceM.S., or Ph.D. in Computer Science, Mathematics, Physics, or a related field.Additional Requirements
3+ years experience working with Deep learning accelerators and 5+ years experience with Metal, Cuda, and OpenCL.
5+ years experience developing software and systems for Apple platforms