Summary : Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally?
Play a part in the next revolution in human-computer interaction on all of Apple's Platforms : iPhone, iPad, HomePod, Mac, Watch, tv, Vision Pro across dozens of languages.
Contribute to a product that is redefining mobile computing, and work with the people who created the intelligent assistant that helps millions of people get things done just by asking.
Join the Siri Response team at Apple.The Siri Response team is looking for exceptional passionate about machine learning, and unlocking the full potential of ML techniques to improve Siri's voice, responses and user interactions.
Key Qualifications : 4+ years experience working in text-to-speech, speech recognition, NLP or related fieldsExperience in data-to-model processing in multiple languages including data analysis and visualizationCraft, conduct, analyze, and interpret experiments and investigations into ML model performance and quality.
Strong foundation in building tools and frameworks using PyTorch / Tensorflow for AI / ML applicationsStrong expertise in programming : Python / other languagesCapable of driving projects of varying sizes and scopes, and ability to dig deepStrong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners.
Description : Take part in bringing the best possible Siri to as many users and use cases as possible. As a Sr. Language Expansion Engineer, you'll have the opportunity to have end-to-end ownership for the development of Siri for multiple locales, from voice, to language, to character you will play a key guiding role.
You'll work with engineering partners to develop processes, tools, and frameworks for building fine-tuning / optimizing ML models for TTS text processing and acoustic models of Siri.
You'll also build tools for analyzing errors and systemic issues on Siri voices in all locales. Lastly, you'll implement your ideas directly in our TTS engine in production.
Hundreds of millions of users will experience your contributions through more natural and expressive Siri on Apple products.
Additional Requirements :
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