Apple | Hiring | AI/ML -Voice Building and Testing Engineer (TTS), Siri and Language Technologies | Seattle, WA | United States | BigDataKB.com | 10 Oct 2022

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Job Location: Seattle, WA

Summary

Posted: Sep 8, 2022
Weekly Hours: 40
Role Number:200383856
On the Siri Text-to-Speech team, you’ll play a part in the next revolution in human-computer interaction by contributing to a product that is redefining mobile computing. You’ll build groundbreaking technology for large-scale systems involving: Spoken language, big data, and artificial intelligence. Plus, you’ll work alongside the people who created Siri, the intelligent assistant who helps millions of people get things done — just by asking. The Siri Text-to-Speech team is looking for exceptionally skilled and creative Engineers eager to get involved in hands-on work to improve the overall Siri experience.

Key Qualifications

  • Experience in voice building, testing, and tuning pronunciation, normalization and/or other text processing machine learning models
  • Ability to implement experiments using scripting languages (Python, bash) and tools written in C/C++
  • Solid understanding of phonetic notation such as IPA, SAMPA or CMU
  • Ability to create, analyze and optimize voice talent recording scripts and other text corpora for areas such as phonetic and prosodic coverage
  • Ability to lead a team and collaborate for a cross-functional product will be a huge plus
  • 3-5 years experience working in text-to-speech, speech recognition or related fields

Description

The Siri Text-to-Speech team is looking for voice building and testing engineers to take part in building the voice of Siri. You’ll be responsible for building and testing machine learning models used in TTS text processing and backend TTS models for Siri voices. You’ll develop testing and an error analysis process to populate systemic issues on Siri voices in particular locales and work with stakeholders to resolve these issues. Lastly, you’ll directly implement user-impacting test cases and scenarios in our Siri voice-building production pipeline, engine, or tools. Hundreds of millions of users will experience your contributions through more natural and expressive Siri voices on Apple products.

Education & Experience

Master’s degree or higher in Computer Science, Computational Linguistics or a related field

Additional Requirements




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