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Apple Research Engineer Large Visual Generative Model Optimization United States, Washington, Seattle 957985591
14.04.2025
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Your primary responsibilities will include:Designing, implementing, and deploying innovative conditional visual generative models.Implementing novel and powerful model compression, distillation algorithms, and efficient model architecturesPerform research in emerging areas of efficient neural network development including quantization, pruning, compression algorithms with a focus on visual generation models. Staying abreast with the latest trends, technologies, and best practices in machine learning, visual generative models, multi-modal foundation models, computer vision and natural language understanding. We encourage publishing novel research at top ML conferences.
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Strong programming skills in Python and 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
- Excellent written and verbal communications skills, and have the ability to work hands-on in cross-functional teams
- 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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