Data Collection and Manipulation for Model and process large datasets of audio signals from a variety of real world scenarios to evaluate and refine machine learning and maintain the audio data pipeline ensuring that the data is clean properly annotated and formatted for model testing and training. Make key decisions regarding model training and validation ensuring feature quality and consistency to meet the demands of product Testing of Audio the functionality of AirPods audio framework and features to identify bugs or usability issues with various features. Conducting experiments for the manual testing on AirPods evaluating the accuracy responsiveness and performance of the audio features. Follow up and help with understanding and fixing different issues. Plan design and run audio experiments to assess performance usability and audio fidelity under different conditions. The goal is to understand how audio features perform across diverse environments and use UI for Customer Feedback and maintain user interfaces (UIs) that collect feedback from customers regarding their experience with specific features or functions of intuitive UIs that allow customers to provide direct feedback which is crucial for future feature refinement. This feedback loop supports decision making in the model refinement and product improvement and Storing Metrics for Feature and store usage metrics related to AirPods and analyze data related to feature usage (e.g. how often noise cancellation is used). Ensure that all data is securely stored and readily accessible for further analysis and reporting.
- BS or MS in Computer Science or related field.
- Laser focus on customer impact and product experience.
Data Collection and Manipulation for Model and process large datasets of audio signals from a variety of real world scenarios to evaluate and refine machine learning and maintain the audio data pipeline ensuring that the data is clean properly annotated and formatted for model testing and training...
Data Collection and Manipulation for Model and process large datasets of audio signals from a variety of real world scenarios to evaluate and refine machine learning and maintain the audio data pipeline ensuring that the data is clean properly annotated and formatted for model testing and training. Make key decisions regarding model training and validation ensuring feature quality and consistency to meet the demands of product Testing of Audio the functionality of AirPods audio framework and features to identify bugs or usability issues with various features. Conducting experiments for the manual testing on AirPods evaluating the accuracy responsiveness and performance of the audio features. Follow up and help with understanding and fixing different issues. Plan design and run audio experiments to assess performance usability and audio fidelity under different conditions. The goal is to understand how audio features perform across diverse environments and use UI for Customer Feedback and maintain user interfaces (UIs) that collect feedback from customers regarding their experience with specific features or functions of intuitive UIs that allow customers to provide direct feedback which is crucial for future feature refinement. This feedback loop supports decision making in the model refinement and product improvement and Storing Metrics for Feature and store usage metrics related to AirPods and analyze data related to feature usage (e.g. how often noise cancellation is used). Ensure that all data is securely stored and readily accessible for further analysis and reporting.
- BS or MS in Computer Science or related field.
- Laser focus on customer impact and product experience.
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