Join the Input and Intelligence team that is responsible for device text processing across all Apple platforms.  As a member of this premier team, you will work on the intersection of software engineering, natural language processing, and machine learning.  The position requires proven hands-on machine learning experience in conjunction with software engineering.  The role spans the entire gamut of machine learning: empirical experimentation, productizing ML algorithms for Apple and working on concrete user-facing features that harness the ML software stack. This role has plenty of opportunities for collaboration with several engineering teams at Apple that work on machine learning algorithms for the first party and third-party applications.

Masters or Ph.D. in Computer Science, Computational Linguist or a related field

 Experience with Natural Language Processing (NLP) is a plus

Picture yourself working on cutting-edge technologies that drive device intelligence at Apple. Our Input and Intelligence team owns critical technologies on the OS that power autocorrection, predictive typing, photos search, emoji prediction, and smart responses. We provide all of the fundamental text processing (language identification, tokenization, tagging, etc.) functionalities on Apple platforms and support the NLP behind CreateML and Core ML. We are looking for a machine learning engineer who is passionate about designing and writing optimized ML software for Apples best in class devices. This role allows you to be a highly multifunctional engineer who partners with our Keyboards, Camera & Photos, CoreOS and CPU/GPU teams. To thrive in this position you will need strong math fundamentals, software engineering experience and exposure to deep learning tools are pertinent to this role.