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Apple Algorithm Optimization Engineer - ANE United States, California, Sunnyvale 316384872
06.06.2024
Description
Analyze ML network bottleneck in the mainstream neural processor/GPU/CPU.
Key Qualifications
- Rich experience with popular CNN, Transformer, and Diffusion networks and their energy-efficient variants for mobile and embedded vision applications.
- Familiar with popular ML toolboxes (PyTorch, TensorFlow etc.) and their built in techniques for network deployment (TensorRT etc.)
- Familiar with ML network optimization techniques, such as quantization, pruning, distillation, low-rank factorization and compression methods.
- Bonus Qualifications:
- Familiar with Apple ML stack (ANE, CoreML, MPS/Metal)
- Familiar with 3D computer vision, multi-view geometry, SfM etc.
Education & Experience
BS and a minimum of 10 years relevant industry experience
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 $170,700 and $300,200, 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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