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 many applications on Apple Platforms including the latest Transformer Models for Keyboard on iOS 17. 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.
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.
Here are a selection of relevant WWDC presentations:
https://developer.apple.com/videos/play/wwdc2023/10042/
https://developer.apple.com/videos/play/wwdc2020/10657/
https://developer.apple.com/videos/play/wwdc2019/232/
https://developer.apple.com/videos/play/wwdc2018/713/
https://developer.apple.com/videos/play/wwdc2017/208/
Key Qualifications
Experience writing production software (C/C++, Obj-C, Python)
Hands-on experience with building NLP applications
Good machine learning fundamentals
Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow
Excellent communication and organizational skills
Description
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.
You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP.
Education & Experience
B.S, M.S. or PhD in Computer Science or a related field
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