Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud - adapters, speculative decoding, guided generation to name a few. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies in iOS/macOS 18, Transformer Models for Keyboard on iOS 17. We have a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple.

DESCRIPTION

As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP.

MINIMUM QUALIFICATIONS

• BS, MS or PhD in Computer Science, or relevant experience
• Experience writing production software (Swift, C/C++, Obj-C, Python)
• Hands-on experience with building NLP/Generative AI applications
• Good machine learning (ML) fundamentals

PREFERRED QUALIFICATIONS

• Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow
• Excellent communication and organizational skills

Please refer the Job description for details