Large Machine Learning System Optimization Engineer

　　Seattle,Washington,United States

　　Machine Learning and AI

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　　Summary

　　Posted:Jan 9, 2024

　　Role Number: 200533011

　　The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Language, Computer Vision and Machine Perception technologies across Apple products. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

　　Key Qualifications

　　Strong experience in the area of developing machine learning training framework, or hardware acceleration of machine learning tasks

　　Strong software engineering skills in Python

　　Strong communication skills; phenomenal work ethic and collaboration

　　Familiar with network optimization algorithm including quantization, sparsification, experience with knowledge distillation or NAS is a plus

　　Experience with hardware architecture, cache utilization, data streaming model is a plus

　　Experience on large language models (LLMs), large computer vision and machine learning model, and generative AI model development is a big plus

　　Design and develop APIs for common and emerging deep learning primitives: layers, tensor operations, optimizers and more specific hardware features.

　　Implement efficient tensor operations and DNN training algorithms.

　　Train and evaluate DNNs for the purpose of benchmarking neural network optimization algorithms. Our framework reduces latency and power consumption of neural networks found in many Apple products.

　　Perform research in emerging areas of efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives.

　　We encourage publishing novel research at top ML conferences.

　　Description

　　We’re looking for strong ML software engineer/leads to build a next generation Deep Learning technology stack to accelerate on-device large machine learning capabilities and emerging innovations. You’ll be part of close nit software developers and deep learning experts working in the area of hardware aware neural network optimization, algorithms, and neural architecture search. We’re looking for candidates with strong software engineering skills, passionate about machine learning, computational science and hardware.

　　Education & Experience

　　BS and a minimum of 10 years relevant industry experience

　　Additional Requirements

　　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 $161,700.00 and $284,900.00, 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 (https://www.apple.com/careers/us/benefits.html) 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 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 Footer

　　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 (Opens in a new window) .

　　Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

　　Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

　　Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

　　Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .