Sound Analysis Software Engineer Job at Apple Inc., San Diego, CA

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  • Apple Inc.
  • San Diego, CA

Job Description

The Audio Media Technology (AMT) is at the center of Apple’s innovative products, including the Mac, iPhone, iPad, Apple Watch, AirPods, Apple TV, macOS, iOS, watchOS and tvOS. AMT’s Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API’s for third party developers to enrich our platforms. AMT is looking for passionate software engineers to help build the next generation of Sound Analysis machine listening software. In addition to a 3rd party framework, Sound Analysis powers a range of machine listening features across Apple’s ecosystem. Our highly cross-functional team works with experts across Apple who develop advanced machine learning AI algorithms to enable Apple products to better understand the world around them, while maintaining Apple’s industry-leading standards for privacy and security.

Description

In this exciting role you will work cross-functionally with machine learning experts, system software engineers, hardware engineers, and designers to create the infrastructure and systems that enable machine listening experiences across Apple’s ecosystem. You will help develop new features from conception to release, with an eye toward Apple’s high standards for user experience, quality, and performance.

Minimum Qualifications

  • BS or MS in Computer Science or other related field or equivalent

Key Qualifications

Preferred Qualifications

  • Excellent software design/programming skills in Swift, Objective-C and/or C/C++.
  • A passion for understanding end-to-end systems, from the user experience down to the hardware
  • Experience with machine learning for speech or audio applications
  • Experience developing real-time audio processing software
  • Proactive and passionate about learning new technologies

Education & Experience

Additional Requirements

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 $131,500 and $243,300, 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 take affirmative action to ensure 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.
In this exciting role you will work cross-functionally with machine learning experts, system software engineers, hardware engineers, and designers to create the infrastructure and systems that enable machine listening experiences across Apple’s ecosystem. You will help develop new features from conception to release, with an eye toward Apple’s high standards for user experience, quality, and performance.

Job Tags

Relocation,

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