Machine Learning Engineer, Large Visual Generative Model Optimization

4 Months ago • All levels • $135,400 PA - $250,600 PA
Research Development

Job Description

We are looking for Machine Learning System Engineers who have a proven background at the intersection of ML optimization and ML model deployment. This role is for visual content generation initiatives that are an integral part of Apple Intelligence. The primary responsibilities include designing, implementing, and deploying innovative conditional visual generative models, overseeing software workflows and test protocols for assembling and deploying visual generative models, and performing R&D in emerging areas of efficient neural network development including quantization, pruning, and compression algorithms with a focus on visual generation models. The role will also handle various components in the model lifecycle of such large visual models, ranging from training, optimization, deployment, validation, and evaluation. Effective communication of results and insights within a highly multi-functional team is crucial.

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model-deployment
algorithms
machine-learning

We are looking a Machine Learning System Engineers who has a proven background at the intersection of ML optimization and ML model deployment. This would be in service of visual content generation initiatives that form an integral part of Apple Intelligence. Your primary responsibilities will include: Designing, implementing, and deploying innovative conditional visual generative models Overseeing software workflows and test protocols for assembling and deploying visual generative models Performing R&D in emerging areas of efficient neural network development including quantization, pruning, compression algorithms with a focus on visual generation models. Handle various components in the model lifecycle of such large visual model, range from training, optimization, deployment, validation, and evaluation. Effectively communicating results and insights in a highly multi-functional team

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