{"title": "AIML - ML Engineer, Machine Learning Platform & Infrastructure", "summary": "At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences. Core ML is an example of an external facing product from this group. One important mission of the group centers around profiling, analyzing and optimizing ML inference performance across a remarkable variety of ML models, Apple devices and processors. These capabilities are already being used by several partner teams inside Apple (such as CPU, GPU, Neural Engine, speech understanding, Camera, Photos, VisionPro) as well as external App-Developers. If this role sounds exciting, we want to hear from you!", "description": "This role provides a great opportunity to help scale and extend a significant ML benchmarking service used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML front-tier ! Possible example areas include efficient inference, model compression, ML compilers, and/or federated learning.", "key_qualifications": "Strong ML fundamentals, experience developing code in one or more of training frameworks (such as PyTorch, TensorFlow or JAX); Experience with Transformers, CNNs or Stable Diffusion is a plus; Understanding about performance modeling and profiling of computer systems, and how to optimize code efficiency for a given platform; Experience in computer system power analysis is a plus; A passion for edge / on-device ML; Experience with on-device ML frameworks such as CoreML, TFLite or ExecuTorch is preferred; An interest in software architecture, APIs, high performance extensible software and scalable software systems; Programming and software design skills (proficiency in Python and/or C/C++); Excellent collaboration and communication skills.", "preferred_qualifications": "", "education_experience": "Masters in Computer Science or relevant disciplines; PhD preferred.", "additional_requirements": "Apple\u2019s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We\u2019re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount \u2014 both offer everyone at Apple the chance to share in the company\u2019s success. You\u2019ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs vary by country and are subject to eligibility requirements. 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 is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.", "pay_benefits": "", "company": "apple"}