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Apple Machine Learning Engineer Large Visual Generative Model Optimization United States, Washington, Seattle 81579208
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Your primary responsibilities will include:Designing, implementing, and deploying innovative conditional visual generative modelsOverseeing software workflows and test protocols for assembling and deploying visual generative modelsPerforming 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.
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Excellent written and verbal communications skills, and have the ability to work hands-on in multi-functional teams
- Strong programming skills in Python or C++
- Proficiency in toolkits like PyTorch or other deep learning frameworks
- Hands on experience training or leveraging larges scale visual generative models (e.g. diffusion models) for real-world user experience and computer vision applications
- Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience. Proven leadership in both applied research and development
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models
- Experience with hardware architecture, software & hardware co-design
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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