<p>The System Intelligence and Machine Learning (SIML) organization is seeking visual generative modeling research engineers to build the next generation of experiences and capabilities in Apple Intelligence. This is an opportunity to join a dedicated core group in the Intelligent System Experience organization at Apple, which built the foundational image generation technologies behind Image Playground, Genmoji, Image Wand and Photos Clean Up experiences. Join us as we transform the way billions of users express themselves, create and communicate, on Apple platforms!</p> <p>We are looking for a Sr Research Engineer with a proven track record in applied ML research. This role will include training large scale conditional generative models in the visual domain on distributed backends, deployment of neural architectures such as transformers efficiently, and learning adaptive policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the field, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware u0026 design teams cross functionally. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.</p> <p>Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience. Experience in addressing challenges associated with the transition of a prototype into a shipping product. Demonstrated leadership in applied research and development. Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams.</p> <p>Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience. Hands on experience training larges scale visual generative models (e.g. diffusion models) and/or adapting pre-trained models for downstream tasks. Strong programing skills in Python or C++. Proficiency in deep learning libraries like Pytorch or equivalent deep learning frameworks.</p>