GPU ML Engineer Apple Silicon Acceleration
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Engineering
Systems Engineer, AI Engineer (Applied/Software) -
IT/Tech
Machine Learning/ ML Engineer, Systems Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Apple in Cambridge, Massachusetts seeks extraordinary machine learning and GPU programming engineers to provide robust compute solutions for accelerating ML networks on Apple Silicon.
The role offers opportunities to influence design of compute and programming models in next-generation GPU architectures and to contribute to ML training acceleration technologies across multiple platforms.
The GPU ML Engineer for Apple Silicon Acceleration position in the IT & Technology field is open for applications.
All applications are reviewed carefully by our team.
The position is based in Los Angeles, CA, United States.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 150..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the GPU ML Engineer for Apple Silicon Acceleration role in the description above.
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