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Apple LLM Research Engineer Model Optimization Algorithms Development United States, Washington, Seattle 684924471
18.11.2024
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Minimum Qualifications
- 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.
- BS degree and 3+ years of proven experience.
Preferred Qualifications
- 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.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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