Sr. Machine Learning Technologist - Video Applications
Santa Clara Valley (Cupertino),California,United States
Machine Learning and AI
+ 3+ years experience with CoreML, Metal Performance Shaders, Vision, AVFoundation, and Accelerate.
+ Minimum 3 years experience using ML technologies (Keras, TensorFlow, PyTorch, Caffe) to tackle a variety of Computer Vision and other problems.
+ Strong programming skills and experience with Objective-C or Swift, Python, and GPU programming (Metal, CUDA, OpenCL, or Vulkan).
+ Experience doing rapid prototyping. Good intuition in assessing time versus complexity tradeoffs.
+ Ability to discern whether a particular ML technology is viable for solving specific application problems for the Apple platforms.
+ Experience with ARKit and SceneKit a plus.
+ Experience with ML and CV for embedded systems (Arduino, RaspberryPi, Android) a plus.
+ Excellent written and verbal communications skills.
+ Able to collaborate and build productive cross-functional relationships.
Are you a self-motivated individual, have strong technical skills, able to solve problems creatively, have superior communication skills and thrive in a fast-paced environment? Leverage these qualities along with your expertise in architecting and developing iOS and macOS applications or frameworks to contribute to our suite of products at significant scope. You have shipped iOS and/or macOS and/or tvOS apps using Apple ML core technologies (CoreML, Metal, Vision, Accelerate). You will advise and consult on multiple projects within our organization, to identify where ML can best be employed, and in areas of media utilization not limited to images and video. You should have the ability to estimate the level of ML development and training effort required for a given application. In this position, you will stay abreast of virtually all ML/CV hardware and software technologies under development and research at Apple, advise us on how to best leverage these, and suggest creative ways to augment these with our own ML/CV development. You will also stay up to date with the latest relevant developments in industry. In this role you will establish peer technical relationships with top ML technologists within Apple, as well as those within the industry and academia. We expect that you will have significant software development and integration knowledge in order to be both an advisor to and significant developer on multiple initiatives.
**Education & Experience**
MS or PhD in Computer Science or related Engineering, Science, Math discipline
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