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Apple
Cupertino, California, United States
(on-site)
Posted
8 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
IT/Software Development
On-Device ML Infrastructure Engineer (ML User Experience APIs & Integration)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
On-Device ML Infrastructure Engineer (ML User Experience APIs & Integration)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs an engineer in this critical role, you will develop and use APIs in coremltools to enable ML engineers to efficiently author/convert ML models to CoreML. You will be integrating coremltools into internal and external ML model repositories to evaluate and demonstrate how ML models can ingested into CoreML. You will ideate, design, and stress test the gamut of optimizations required to ingest these models, ranging from source level optimizations (e.g., in the PyTorch program), to custom optimizations after converting to CoreML's model representation. The role requires a good understanding of ML modeling (architectures, training vs inference trade-offs, etc.), ML deployment optimizations (e.g., quantization), and a good understanding of designing Python APIs We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. The coremltools authoring and conversion APIs are the entrypoint to the rest of the infrastructure stack.
Minimum Qualifications
- Bachelors in Computer Sciences, Engineering, or related discipline.
- Highly proficient in Python programming, familiarity with C++ is required.
- Proficiency in at least one ML authoring framework, such as PyTorch, TensorFlow, JAX, MLX.
- Strong understanding of ML fundamentals, including common architectures such as Transformers.
- Understanding of common ML inference optimizations, such as quantization, pruning, KV caching, etc.
Preferred Qualifications
- Experience with any on-device ML stack, such as TFLite, ONNX, etc.
- Experience with designing Python APIs and production deployment of python packages is a strong plus.
- Experience with HuggingFace or any other model repository is a strong plus.
- Experience with MLIR/LLVM or any compiler toolchains is a strong plus.
- Good communication skills, including ability to communicate with cross-functional audiences.
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 $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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 seek to promote 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. Learn more about your EEO rights as an applicant .
Job ID: 80965867

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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