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Apple AIML - Machine Learning Engineer Core ML United States, Washington, Seattle 672630365
01.06.2024
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Description
Responsibilities include:* Performing model conversion from PyTorch , among other libraries, to the Core ML model format * Running and benchmarking models. Understanding the effect of computational graph representation on the model execution performance on neural engine, GPU, CPU. * Proficient in setting up and running open source ML models (e.g. Hugging Face), understanding ML pipelines and reasoning on which parts should be part of the model, and which outside the model as pre-processing and post processing steps * Adding graph passes for improving performance. Publishing examples of models that are converted in "performant" ways (example: the Apple Stable diffusion open source library)* Collaborate effectively with developers (internal and external). Be an active member of the open source CoreMLTools community on Github, interacting with developers, addressing GitHub issues etc* Implementing new operations / layers for neural networks * Improving model optimization documentation, writing examples, tutorials and guides
Key Qualifications
- Strong ML fundamentals and understanding of the latest model architectures. Strong understanding of operations that constitute a model (e.g. gather, convolution, attention etc)
- Fluent in PyTorch, TF or JAX
- Ability to work comfortably with computational graphs and IRs (compiler background a strong bonus)
- Ability to profile models and reason about the effect of conversion / model representation on device performance
- Strong python programming skills (C++ a strong bonus)
- Experience with developing public facing APIs (in python or C++/C)
- Passionate about engaging and collaborating with ML community in the open source (track record in this area a strong bonus)
Education & Experience
* BS/MS/PhD in Computer Science or Electrical Engineering * 2+ years of industry experience
Additional Requirements
- Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
- Apple benefits programs vary by country and are subject to eligibility requirements.
- 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
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 $131,500 and $243,300, 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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