Job Details

AIML - Software Engineer

Cupertino,California,United States

Machine Learning and AI

Apple Intelligence is pushing the boundary of Machine Learning by bringing Generative AI to consumers in a way that enhances people's lives while guaranteeing their privacy and safety. To deliver this technology at the high standards that Apple is known for, we are investing in the foundational ML infrastructure for training and evaluating models in Apple Intelligence. As part of this effort, the Systems team in Siri focuses on improving efficiency of end-to-end ML pipelines in order to both optimize cloud compute resource utilization and maximize engineering productivity. The Systems team combines a wide variety of skills ranging from low-level optimization of CUDA kernels over improving model implementation for better training efficiency to architecting datagen-training-evaluation pipelines.

Description

The Systems team is looking for a skilled and highly motivated ML Software Engineer to support our efforts on training efficiency. In this role, you will be responsible for evaluating and enabling hardware accelerators to optimize the training and inference of deep learning models at Apple. This is a highly cross-functional role that requires close collaboration and coordination with the ML modeling team, compute platform team, and external partners. If you are excited about Machine Learning efficiency and want to have high impact at the core of Apple Intelligence, we want to hear from you! Key Responsibilities - Evaluate and integrate hardware accelerators for the training and inference of deep learning models. - Collaborate with cross-functional teams to prototype and develop solutions that enhance the performance of our ML stack. - Integrate new technologies (eg. torch.compile, XLA, Model Parallelism, Tensor Parallelism, FP8) into the existing codebase to enable large-scale deployment of ML models, significantly reducing engineering iteration time. - Profile system performance, identify bottlenecks, and optimize runtime performance. - Work closely with external partners to ensure smooth integration of hardware accelerators with our existing infrastructure. - Stay up-to-date with the latest advancements in hardware accelerators and deep learning technologies.

Minimum Qualifications

• Excellent Python coding skills

• Experience with GPUs, TPUs, AWS Trainium

• Familiarity with PyTorch

• Excellent interpersonal skills

Key Qualifications

Preferred Qualifications

• ML System experience - Large Scale distributed Training and Inference.

• Familiarity with JAX, XLA, HLO, Torch Compile

• Experience implementing/optimizing CUDA kernels

Education & 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 $121,909 and $214,500 annualized, 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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