About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and exciting opportunity to craft upcoming products and services that will delight and inspire millions of Apple’s customers every single day. Apple is seeking highly skilled and creative engineers interested in advancing speech and audio technologies on the audio algorithms team. As a member of the team, you will research multimodal deep learning approaches to leverage audio, video, and other signals for improving speech and audio acquisition. You will work alongside a group of researchers developing machine learning and multichannel signal processing technologies for speech enhancement including source separation, adaptive beamforming, de-reverberation, and source localization. You’ll collaborate with multiple teams across product development, software, and Siri to integrate your ideas into products and build future technologies that will impact millions of Apple customers.

Requirements

  • PhD in Computer Science or related field.
  • Research experience in audio or speech algorithm development (patents, papers, etc.).
  • Experience in machine learning for audio or speech processing.

Nice To Haves

  • Experience with multi-microphone algorithm development.
  • Proven understanding of deep learning toolkits (TensorFlow, PyTorch, etc.).
  • Fluency in Python.
  • Experience with machine learning methods for video scene understanding.
  • Experience with speech recognition systems and toolkits.

Responsibilities

  • Research and invent novel solutions for challenging speech and audio problems.
  • Develop machine learning and multichannel signal processing technologies for speech enhancement.
  • Collaborate with multiple teams across product development, software, and Siri.
  • Integrate ideas into products and build future technologies.
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