Deep Learning Optimization and Infrastructure Engineer - SIML

Key Skills

C Programming, C++, CUDA/GPU programming, Deep Learning, Machine learning techniques, Python Programming, PyTorch, Software Development

Job Description

Do you think Deep Learning can change the world? Do you think it can fundamentally transform the way millions of people use technology? We truly believe it can and we are looking for self-motivated engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the SIML team that provides foundational computer vision, natural language processing and other machine learning technologies to Apple's ecosystem. Our team combines research and development in a dynamic and exciting environment and delivers robust solutions that are implemented across all of Apple products. If you have demonstrated outstanding contributions to an ML project, optimizing training and/or inference efficiency of deep learning systems, we strongly encourage you to apply for this role.

Key Qualifications

• 5+ years of industry Machine Learning experience
• Knowledge of the machine learning pipeline, from data processing to training to performance analysis
• Expertise with PyTorch as a user
• Knowledge of scalable distributed systems and their application to machine learning
• Strong analytical and problem solving skills, including software debugging
• Successfully code in Python and you have ability to navigate with C/C++
• Excellent written and verbal communications skills
• Ability to work hands-on in multi-functional teams

Description

The System Intelligence and Machine Learning (SIML) team in the Intelligent Systems Experience organization (ISE) is looking for a Machine Learning engineer. The position involves development work focused on improving an ecosystem of tools touching the entire machine learning pipeline, with a focus on large scale model training and compression for on-device deployment. This ecosystem is used across the company to build exciting machine learning technologies. These technologies have a direct impact on improving the experience of millions of users which involve advanced perception and reasoning. The main tasks associated to this position range from software development to system administration, and include handling engineer support and feedback to guide development, as well as communication with supporting services.

Education & Experience

M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering) or comparable professional experience; or equivalent experience. A focus on computer vision and/or machine learning is a valuable plus.

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.

Additional Requirements

• System administration experience is desirable.
• Web development experience is desirable.
• Experience with macOS and iOS development tools and familiarity with GPU programming is desirable.
• Knowledge of Objective-C/Swift is desirable.
• Experience in the industry is a plus.

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 $161,000 and $278,000, 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.