Summary
Posted: Oct 8, 2024
Role Number:200570989
We live in a mobile and device-driven world where Deep Learning technology, especially Foundation Models, enable a new class of applications. Are you passionate about enabling unique user experiences, including Apple Intelligence, on Apple products; such as Apple Vision Pro, iPhone, iPad and the Mac? In our Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads. Our success is the result of dynamic people working in an environment which cultivates creativity, partnership and multi-functional collaboration. These elements come together to make an amazing environment for motivated people to do the greatest work of their lives! Imagine the countless possibilities powered by Apple Intelligence! Will you help us design the next generation of revolutionary Apple Products?
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Description
Our team develops machine learning frameworks and tools to deploy and accelerate deep learning models for Apple products. In this role, you will be empowered to: - Implement ML algorithms using Apple Neural Engine SoC, with an emphasis on performance and power - Develop machine learning infrastructure that will be used by product teams for developing, evaluating and deploying machine learning models - Provide technical support to product and algorithm teams on standard methodologies for developing efficient machine learning models, and analyzing failure cases - Interact with high level ML frameworks; such as CoreML, and add support for new hardware features into the framework - Interact with the compiler for Apple proprietary Neural Engine Accelerator to expose / enable new features of the Neural Engine Accelerator - Run performance analysis and optimization of ML workloads running on the Apple Neural Engine
- BS and a minimum of 3 years relevant industry experience
- Ability to write quality, readable and maintainable code in C++/Python
- Experience using modern machine learning frameworks like TensorFlow or PyTorch
- Experience with neural networks inference on dedicated SOC, GPU, CPU or DSP
- Strong fundamentals in problem solving and algorithm design
Preferred Qualifications
- Understanding of compiler development
- Strong communication skills, and ability to present deep technical ideas to audience with different abilities
- Understanding of hardware acceleration for ML workloads
- Experience with modern IR for ML workloads (MLIR)
- Passion for software architecture, APIs and development tool design
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.
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.
More
- 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. Learn more about your EEO rights as an applicant.