Apple | Speech Scientist / Engineer (Interspeech 2022) | Cupertino, CA | United States | BigDataKB.com | 13 Oct 2022

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Job Location: Cupertino, CA

Summary

Posted: Mar 9, 2022
Role Number:200353151
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level. We are looking for speech scientists, engineers, and machine learning/data scientists to join our teams in Cupertino, Seattle, Pittsburgh, Boston, Cambridge (UK), Cheltenham (UK), and Beijing. This posting is for attendees of Interspeech 2022 who are interested in full-time opportunities at Apple.

Key Qualifications

  • Strong machine learning background in speech and/or language/text/dialogue processing field
  • In-depth hands-on experience in deep learning
  • Strong software engineering abilities, ideally C++, Java, and/or Python
  • Passion for building research demo prototypes and turning them into production quality design/implementation
  • Experience with deep learning toolkits, e.g. Tensorflow, PyTorch
  • Experience with speaker recognition and related technologies
  • Curious about new technologies and passionate about exploring new use cases

Description

At Apple, you will design, develop, and deploy large scale services and platforms. We’re looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work to improve our speech technologies by applying machine learning. You will also collaborate with teams across Apple, who are building the newest, most compelling intelligent applications in the world. This is a unique opportunity to apply machine learning and deep learning techniques at the intersection of various areas such as speech recognition, natural language processing, multi-modal, TTS dialogue management, acoustic modeling, language modeling and tools development. You should be creative, enthusiastic, and ready to communicate and collaborate with multiple teams.

Education & Experience

PhD, MS, or BS in Machine Learning, Computer Science, or related fields.

Additional Requirements




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