Apple is hiring: Machine Learning Engineer, Large Visual Generative Model Optimi Apple, Seattle, WA, United States, 98101 Seattle, Washington, United States The System Intelligence and Machine Learning (SIML) organization at Apple is looking for visual generative modeling ML engineers to build the next generation of experiences and capabilities in Apple Intelligence. This is an opportunity to join a dedicated core group focusing on the foundational image generation technologies behind Image Playground, Genmoji, Image Wand and Photos Clean Up experiences that shipped as part of Apple Intelligence. We transform the way billions of users express themselves, create and communicate, on Apple platforms! In this role your focus will be on handling the model lifecycle of large visual generative models to enhance both the performance and quality. You will work in a highly multi-functional setting, providing technical leadership, and be responsible for delivering ML solutions. Responsibilities 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. Minimum Qualifications 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 large scale visual generative models (e.g. diffusion models) for real-world user experience and computer vision applications. Preferred Qualifications 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. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

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