Staff Research Scientist, Android Pixel Audio

• Own machine learning model development including model training and optimization.
• Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process.
  
• Design and fine tune Machine Learning (ML) models for Pixel devices.
• Contribute to prototyping to delivery for audio features.
  
• Collaborate with Android Pixel Audio and Google Silicon teams for feature development.

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 5 years of experience with software development in one or more programming languages, or 3 year of experience with an advanced degree.
  
• Experience with machine learning principles and model architectures.
• Experience in audio and speech related model development and inference.
• Multiple scientific publications at audio/signal processing/speech/ML research conferences, journals, or public repositories.

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).