Software Engineer in Natural Language Processing (NLP) and Machine Learning at Apple
🇺🇸 United States › California › Cupertino (Posted Jul 8 2021)
Are you interested in building amazing text input 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 an NLP 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 Keyboard and Handwriting Input. We build innovative and pervasive NLP technologies that power a multitude of user experiences on Apple platforms by blending Sensor technology, NLP, ML & Software engineering. We support fundamental text processing functionalities (language identification, tokenization, tagging, embeddings, etc.) for first party applications as well as third-party developers through the Natural Language framework. We also power the NLP technologies behind Create ML and Core ML. 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.
Selection of relevant WWDC presentations:
Join the Input Experience team that is responsible for on-device text processing across all Apple platforms. 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 NLP features for Apple and working on concrete user-facing features that harness the NLP stack. The role has plenty of opportunities for collaboration with several engineering teams at Apple that work on machine learning and NLP.
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