Senior Visual Generative Modeling Research Engineer (Apple Intelligence), SIML - ISE

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!

Description

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 & 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.","responsibilities":"Designing, implementing, and deploying state-of-the-art conditional visual generative models.

Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.

Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.

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.

Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.

Preferred Qualifications