Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's 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, you'll do more than join something - you'll add something
Description
As part of the Siri Attention and Invocation team you will help improve and innovate the front door to our users' interactions with Siri on almost every shipping Apple device. We produce groundbreaking features that make their way to almost every Apple device and work hard to make sure that Siri responds only when intended, in an efficient and privacy-preserving manner. We take full end-to-end ownership of our features driving them through every stage. As a result, each of us takes our responsibility seriously. In this team you will have the opportunity to work on complex problems in close partnership with Data team, Infrastructure, Software, and Hardware.
Minimum Qualifications
* Master's degree in Computer Science or equivalent
* Demonstrable experience in training deep learning system on multiple GPUs in Pytorch
* Demonstrable experience in audio, text to speech, speech to text technologies
Preferred Qualifications
* PhD in Computer Science, Machine Learning or equivalent
* Experience with diffusion and/or autoregressive audio generation models
Publications in speech processing and audio generation at well known conferences
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