28 days old

AI/ML - Voice Building Engineer (Tools), Siri Text-to-Speech

Seattle, WA 98104
  • Job Code
    200218566
Summary

Summary

Posted: Mar 18, 2021

Weekly Hours: 40

Role Number:200218566

On the Siri Text-to-Speech team, you'll play a part in the next revolution in human-computer interaction by con...Summary

Summary

Posted: Mar 18, 2021

Weekly Hours: 40

Role Number:200218566

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

  • 3-5 years experience working in text-to-speech/speech recognition/NLP/Vision and/or machine learning technologies
  • Strong foundation in building tools and frameworks using PyTorch/Tensorflow for AI/ML application and systems
  • Strong expertise in programming: Python/C/C++/Java/Javascript
  • Experience in cloud computing for Kubernetes/AWS is a plus
  • Experience in data analysis and visualization is a plus
  • Outstanding spoken and written communication skills

Description

The Siri Text-to-Speech team is looking for Voice Building Engineers to take part in building the voice of Siri. You'll develop tools and frameworks for building fine-tuning/optimizing ML models for TTS text processing and acoustic models of Siri voices. 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 voices on Apple products.

Education & Experience

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

Additional Requirements

Posted: 2021-03-14 Expires: 2021-04-13

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AI/ML - Voice Building Engineer (Tools), Siri Text-to-Speech

Apple, Inc.
Seattle, WA 98104

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