Machine Learning Research Engineer , Text Generation, Input Experience

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build or service we create what we deliver is the result of us making each others ideas stronger. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. nnOur team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious organized and collaborative team that ships user experiences with pioneering ML partnered with the best UI designs come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023 Writing Tools and Smart Reply in 2024! nnWe exemplify Apples outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apples privacy policy by achieving all of the above on device with powerful Machine Learning.

As a key pillar of Apple Intelligence input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise engineering passion and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting safety-controlled text composition free-form text transformation personalized smart interactions etc. nnOur team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong Machine Learning and NLP skills into user experiences that will reach every person around you this is the perfect opportunity!

Strong machine learning fundamentalsnKnowledge of ML techniques such as implementing basic optimizers applying parameter tuning in model training and evaluation and reproducing research experimentsnStrong programming and communication skillsnPh. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience)

Familiar with model compression algorithms including quantization pruning distillations and experience optimizing large diffusion models or language modelsnExperience with hardware architecture software u0026 hardware co-designnExperience with deploying large ML models in real world productsnActively programming with high-quality codes across complex and large repositoriesnFamiliar with common NLP algorithms and applications including tokenization language modeling text decoding text classifier etcnExperience of multi-modal modeling presenting plans progress and results or demos regularly and concisely