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Position: Machine Learning Research Engineer
Institution: Apple Inc.
Location: Cambridge, Massachusetts, United States
Duties: The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel machine learning technologies for audio processing. You will help us research, implement, and optimize these features on Apple’s products as we push the state of the art in Siri, FaceTime, media capture. You’ll collaborate with multiple teams across product development, Acoustics, Audio Software, Siri, and others to integrate your ideas into products and build future technologies that will impact billions of Apple customers
Requirements: MS/PhD in Computer Science or Electrical Engineering; Research experience in speech or audio algorithm development using machine learning (patents, papers, etc.); Hands-on experience working with deep learning toolkits such as PyTorch or Tensorflow; Fluency in Python, common software engineering practices, and version control; Experience developing real-time audio processing software
   
Text: Machine Learning Research Engineer The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel machine learning technologies for audio processing. You will help us research, implement, and optimize these features on Apple’s products as we push the state of the art in Siri, FaceTime, media capture. You’ll collaborate with multiple teams across product development, Acoustics, Audio Software, Siri, and others to integrate your ideas into products and build future technologies that will impact billions of Apple customers MS/PhD in Computer Science or Electrical Engineering; Research experience in speech or audio algorithm development using machine learning (patents, papers, etc.); Hands-on experience working with deep learning toolkits such as PyTorch or Tensorflow; Fluency in Python, common software engineering practices, and version control; Experience developing real-time audio processing software
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