We are a group of engineers to support training foundation models at Apple. We build infrastructure to support training foundation models with general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Description We design and build infrastructures to support features that empower billions of Apple users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing and ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.
Minimum Qualifications Strong coding skills in C++ or PythonExtensive experience in applied machine learning, modeling, and productizationStrong background in computer science, algorithms, and data structuresExperience with machine learning systems like Tensorflow, Pytorch, or JaxExcellent interpersonal skills, able to work independently as well as in a teamBachelors in Computer Science or equivalent industry work experiencePreferred Qualifications Experience with large-scale language model training or servingExperience with large data generation/decontaminationAdvance degree in related field or equivalent industry work experienceApple 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.
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