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Deep Learning Optimization and Infrastructure Manager, System Intelligence and Machine Learning
The SIML team within the Intelligent Systems Experience organization is looking for a highly motivated and experienced manager to lead a team focused on developing frameworks, tools, and services—primarily in Python—that support the development, training, testing, optimization and deployment of machine learning models across the entire Apple ecosystem. In this role, you will oversee a team with diverse expertise in various machine learning areas and collaborate closely with teams across the company to create an end-to-end ecosystem of ML solutions used throughout Apple. Given the cross-functional nature of these technologies, you will collaborate closely with teams across the company, integrating with numerous internal libraries and supporting a broad and highly engaged user base. If you are passionate about leading world-class engineers and driving innovation at scale, we would love to hear from you!
Minimum Qualifications
- Domain skills: Solid grasp of foundational generative technologies, including LLMs and diffusion models, as well as a deep understanding of deep learning and machine learning in general. Comprehensive understanding of the machine learning pipeline, encompassing data processing, training, and performance analysis. Favor the adoption of reproducible and scientifically rigorous experimental processes to enhance the reliability and validity of your work. Knowledge of distributed systems and their application to machine learning. Strong analytical and problem solving skills, with emphasis on software debugging of complex ML code basis. High fluency in Python and ability to navigate in C/C++/Objective-C/Swift code bases.
- Engineering skills: Experience in structuring software development teams. Experience in building scalable and maintainable software operating on large datasets and with a high degree of task parallelism. Familiarity with evolving ecosystems and with the infrastructure integration challenges. Familiarity with the challenges of developing algorithms and models that eventually run on embedded hardware.
- Soft skills: Excellent written and verbal communication skills. Excellent problem-solving and project management skills. Ability to interact with parties with varying levels of technical proficiency. Ability to work hands-on in multi-functional teams. Demonstrated capacity to build solid relationships across organizations and functions (R&D, privacy and legal, tools & infrastructure...). Ambitious and willing to continuously grow your technical background.
Preferred Qualifications
- System administration experience.
- Basic web development experience.
- Experience with macOS and iOS development tools.
- Basic knowledge of Objective-C/Swift.
- Experience in 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 $219,300 and $378,700, 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.
