Apple - Cupertino, CA
posted 4 months ago
At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences, and we are looking for a tenured software engineer to help define and implement features that accelerate and compress large state of the art (SoTA) models (e.g., LLMs) in our on-device inference stack. We are a dedicated team working on groundbreaking technology in the field of natural language processing, computer vision, and artificial intelligence. We are designing, developing, and optimizing large-scale language/vision/multi-modal models that power on-device inference capabilities across various Apple products and services. This is a unique opportunity to work on powerful new technologies and contribute to Apple's ecosystem, with a commitment to privacy and user experience impacting millions of users worldwide. Are you someone who can write high-quality, well-tested code and collaborate cross-functionally with partner HW, SW, and ML teams across the company? If so, come join us and be part of the team that is helping Machine Learning developers innovate and ship enriching experiences on Apple devices!