Overview
On Site
USD 120,300.00 - 181,200.00 per year
Full Time
Skills
Audio Engineering
Computer Vision
Data Collection
Evaluation
Machine Learning (ML)
Extract
Transform
Load
Testing
Training
Product Requirements
Functional Testing
Manual Testing
Usability
Use Cases
UI
Interfaces
Management
Decision-making
Product Optimization
Reporting
Computer Science
FOCUS
Payments
Job Details
As a Software Engineer on the Headphone and Accessories team, you will play a crucial role in developing and implementing cutting-edge technologies for next-generation headphones and accessories. As part of a small team of specialized engineers, you will have the opportunity to work on innovative features for devices such as AirPods, which are highly regarded and widely used by millions of people worldwide. Your work will span across Connectivity, AIML, Audio Engineering, Computer Vision and other areas, allowing you to create very unique and impactful end-to-end features.
Description Data Collection and Manipulation for Model Evaluation. Collect and process large datasets of audio signals from a variety of real world scenarios to evaluate and refine machine learning models. Develop 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 requirements. Functional Testing of Audio Products. Test the functionality of AirPods' audio framework and features to identify bugs or usability issues with various features. Conducting experiments for the same. Perform 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 cases. Develop UI for Customer Feedback Collection. Build and maintain user interfaces (UIs) that collect feedback from customers regarding their experience with specific features or functions of AirPods. Create 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 processes. Generating and Storing Metrics for Feature Usage. Track and store usage metrics related to AirPods features. Collect 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.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $120,300 and $181,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Description Data Collection and Manipulation for Model Evaluation. Collect and process large datasets of audio signals from a variety of real world scenarios to evaluate and refine machine learning models. Develop 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 requirements. Functional Testing of Audio Products. Test the functionality of AirPods' audio framework and features to identify bugs or usability issues with various features. Conducting experiments for the same. Perform 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 cases. Develop UI for Customer Feedback Collection. Build and maintain user interfaces (UIs) that collect feedback from customers regarding their experience with specific features or functions of AirPods. Create 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 processes. Generating and Storing Metrics for Feature Usage. Track and store usage metrics related to AirPods features. Collect 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.
Minimum Qualifications
- BS or MS in Computer Science or related field.
Preferred Qualifications
- Laser focus on customer impact and product experience.
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $120,300 and $181,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.