Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

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. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms.

Our team has 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

Experience writing production software (Swift, C/C++, Obj-C, Python)

Good machine learning (ML) fundamentals

B.S, M.S. or PhD in Computer Science or a related field

Preferred Qualifications

Hands-on experience in using open-source ML toolkits, e.g., PyTorch

Hands-on experience with building NLP/Generative AI applications

Excellent communication and organizational skills