Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models
Software engineering skills in Python and general purpose system admin and infrastructure management abilities
History of applied research in neural network model optimization or training or a related area application
Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment
MS degree and 3+ years of proven experience
Publication record at top AI/ML venues
Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS
Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C
Infrastructure management and debugging experience
Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms
Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities
PHD in related field
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.