layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
On-device ML Performance Engineer, Graphics, Games and Machine Learning
Apple
Seattle, Washington
Source: Apple careers · View original posting
- Pay
- $142,300 — $263,300 USD per year
Employer job description
From Apple's posting. “We” and “our” refer to the employer.
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products.
The On-device ML Performance team has the responsibility to analyze latency, memory, power and numerical correctness of the latest machine learning models running on Apple SoC’s, and to make Apple’s ML software stack take full advantage of the capabilities in Apple’s ML accelerators. The work from this cross functional team enables model developers’ decisions to optimize performance via advanced techniques such as quantization, sparsity, performance and accuracy tradeoffs.
The work of this team impacts all new Apple HW and ML Inference on them.