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We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
$161,700 - $284,900 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work directly on the product in highly cross-functional teams; you will collaborate with other Machine Learning and AI teams across Apple, with the WebKit team, with other iOS and macOS application and framework teams, and with Apple’s Human Interface group.
$200Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models. In your role as a machine learning infrastructure engineer on our team you will: - Spend most of your time working on data and machine learning systems.
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Key Qualifications: Description: As a software engineer on the Training Platform team, you have the following responsibilities:- Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have 2+ years of experience in natural language processing, machine learning or deep learning. THIS ROLE WILL HAVE THE FOLLOWING RESPONSIBILITIES: - Analyzing search ranking and relevance requirements issues and opportunities - Utilizing PyTorch and proprietary tools for training deep learning models - Understanding product requirements then translating them into modeling tasks and engineering tasks - Building machine-learned models for query understanding and search ranking - Develop and maintain large scale indexing and ML data pipelines.
$131,500 - $243,300 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DescriptionAs a principal machine learning engineer in the machine learning platform team, you will collaborate with ML engineers, software engineers, and product managers to ensure the ML Platform can quickly adapt to the needs of evolving AIML landscape at Apple.
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