AIML - Language Expansion Engineer, Siri and Information Intelligence
Seattle, Washington
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 engineers passionate about machine learning, and unlocking the full potential of ML techniques to improve Siri's voice, responses and user interactions.
Key Qualifications
3-5 years experience working in text-to-speech, speech recognition or related fields
Experience in voice building, testing, tuning pronunciation, recording scripts, normalization and/or other text processing models
Ability to craft, conduct, analyze, and interpret experiments and investigations into model performance and quality. Experience in data science is a plus
Capable of driving projects of varying sizes and scopes, and ability to dig deep
Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners
Ability to implement experiments using scripting languages (Python, bash) and tools written in C/C++
Solid understanding or experience working with standard ML algorithms and toolkits
Ability to lead a team and collaborate for a cross-functional product
Description
Take part in bringing the best possible Siri to as many users and use cases as possible. As a 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 be a central point of contact, synthesizing and guiding the contributions of all relevant teams and contributors. You'll develop workflows and frameworks for building, fine-tuning, optimizing ML models for text processing, acoustic, and natural language generation models. You'll utilize a suite of tools to efficiently analyze errors and systemic issues impacting Siri 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.
Education & Experience
Master's degree or higher in Computer Science, Computational Linguistics or a related field
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 engineers passionate about machine learning, and unlocking the full potential of ML techniques to improve Siri's voice, responses and user interactions.
Key Qualifications
3-5 years experience working in text-to-speech, speech recognition or related fields
Experience in voice building, testing, tuning pronunciation, recording scripts, normalization and/or other text processing models
Ability to craft, conduct, analyze, and interpret experiments and investigations into model performance and quality. Experience in data science is a plus
Capable of driving projects of varying sizes and scopes, and ability to dig deep
Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners
Ability to implement experiments using scripting languages (Python, bash) and tools written in C/C++
Solid understanding or experience working with standard ML algorithms and toolkits
Ability to lead a team and collaborate for a cross-functional product
Description
Take part in bringing the best possible Siri to as many users and use cases as possible. As a 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 be a central point of contact, synthesizing and guiding the contributions of all relevant teams and contributors. You'll develop workflows and frameworks for building, fine-tuning, optimizing ML models for text processing, acoustic, and natural language generation models. You'll utilize a suite of tools to efficiently analyze errors and systemic issues impacting Siri 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.
Education & Experience
Master's degree or higher in Computer Science, Computational Linguistics or a related field
Created: 2024-06-25
Reference: 200537026
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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