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Apple AIML - Machine Learning Engineer United States, California, Cupertino 207284216
07.09.2024
Description
- Build features for our on-device inference stack to support the most relevant accuracy preserving, general purpose techniques that empower model developers to compress and accelerate SoTA models (e.g., LLMs) in apps- This includes building Machine Learning compilers, runtimes, execution kernels, optimizations on ML models, tooling for debugging/visualization of ML models, etc.- Convert models from a high-level ML framework to a target device (CPU, GPU, Neural Engine) for optimal functional accuracy and performance- Write unit and system integration tests to ensure functional correctness and avoid performance regressions
Minimum Qualifications
- Bachelors/Masters/PhD in Computer Science or related fields.
- At least 4 years of experience in Machine Learning (ML) Engineering, System Software Engineering, or related fields.
- Strong proficiency in C/C++ and Python.
- Familiarity with ML fundamentals.
- Familiarity with developing or using ML Frameworks.
Preferred Qualifications
- Experience with PyTorch/JAX Machine Learning frameworks.
- Experience with Machine Learning model inference (serving) is a big plus.
- Experience with MLIR / LLVM compiler technologies is a big plus.
- Experience with on-device machine learning or system software design is a big plus.
- Experience with Swift is a plus.
- Excellent communication skills.
- Passion for designing Software systems, APIs, and extensible products.
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 $143,100 and $264,200, 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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