Speech Scientist / Engineer (Interspeech 2020)

Local Jobs Apple in Software Development
  • United States, Santa Clara Valley, CA 95014 View on Map
  • Post Date : October 14, 2020
  • Apply Before : November 13, 2020
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Job Description

Summary

Posted: Oct 8, 2020
Role Number:200193892
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.
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.

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