We live in a mobile and device-driven world where Deep Learning technology, especially Foundation Models, enable a new class of applications. Are you passionate about enabling unique user experiences, including Apple Intelligence, on Apple products; such as Apple Vision Pro, iPhone, iPad and the Mac?

In our Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads. Our success is the result of dynamic people working in an environment which cultivates creativity, partnership and multi-functional collaboration. These elements come together to make an amazing environment for motivated people to do the greatest work of their lives!

Imagine the countless possibilities powered by Apple Intelligence!

Will you help us design the next generation of revolutionary Apple Products?

Our team develops machine learning frameworks and tools to deploy and accelerate deep learning models for Apple products. In this role, you will be empowered to:

– Implement ML algorithms using Apple Neural Engine SoC, with an emphasis on performance and power
– Develop machine learning infrastructure that will be used by product teams for developing, evaluating and deploying machine learning models
– Provide technical support to product and algorithm teams on standard methodologies for developing efficient machine learning models, and analyzing failure cases
– Interact with high level ML frameworks; such as CoreML, and add support for new hardware features into the framework
– Interact with the compiler for Apple proprietary Neural Engine Accelerator to expose / enable new features of the Neural Engine Accelerator
– Run performance analysis and optimization of ML workloads running on the Apple Neural Engine

BS and a minimum of 3 years relevant industry experienceAbility to write quality, readable and maintainable code in C++/PythonExperience using modern machine learning frameworks like TensorFlow or PyTorchExperience with neural networks inference on dedicated SOC, GPU, CPU or DSPStrong fundamentals in problem solving and algorithm design