Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers!

Description:

We're seeking strong machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities.

In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for a Py Torch-focused ML efficiency expert to optimize training and inference performance, improve distributed training throughput, and drive system-level efficiency for large-scale models. If you have deep experience with Py Torch internals and high-performance ML infrastructure, we'd love to hear from you. We encourage releasing contributions as open source.

Preferred Qualifications:

Experience developing model parallel and data parallel training solutions and other training optimizations.

Experience with parallel training libraries such as torch.distributed, Deep Speed, or Fair Scale.

Experience with CUDA-level optimization.

Experience building ML models targeting Apple Silicon.

Experience building large-scale deep learning infrastructure or platforms for distributed model training.

Publication record at ML conferences such as MLSys, NeurIPS, etc.

Minimum Qualifications:

PhD or Masters degree in the area of Computer Science; or equivalent years of industry experience.

Strong Python programming skills.

Understanding software design principles, and algorithms.

Experience with deep learning frameworks, such as Py Torch.

Experience building large-scale distributed systems.

Familiarity with parallelization algorithms for large model training.

Familiarity with recent developments in foundation model architectures.

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 .

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 $139,500 and $258,100, 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.