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Machine Learning Research Manager, Speech and Multimodal ModelingApple • Cupertino, California, United States
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Machine Learning Research Manager, Speech and Multimodal Modeling

Apple
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States
Postuler Maintenant

À propos

The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple's ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences.
This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apple's software, hardware, and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs, while improving speech interaction experiences for Apple's customers around the world. Our technology powers speech interaction for iOS, watchOS, visionOS, macOS, tvOS, including Siri, Dictation and various speech enabled Apple Intelligence features.
Description
We are seeking an exceptional machine learning research manager with deep technical expertise and strong cross-functional leadership skills to drive applied modeling research, deliver foundational models that support large-scale project development, and contribute to advancing our data processing, modeling, and evaluation tooling. In this role, you will lead core modeling initiatives in speech understanding and speech-to-speech interactions.
Minimum Qualifications
5+ years of experiences working in and leading machine learning research and development
Experience working on speech modeling, delivering research and production outcomes
Experience with both speech understanding and generation preferred
Prior experience managing a machine learning team
Hands-on experiences with large scale machine learning model development
Demonstrated ability to learn new technologies efficiently and apply them effectively
Proven ability to define and drive processes to increase development productivity and support complex project execution
Preferred Qualifications
Master's degree or equivalent in Computer Science, Electrical Engineering or related fields
  • Cupertino, California, United States

Compétences linguistiques

  • English
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