AIML - Software Engineer, Siri Speech
Location
Cupertino, CA | United States
Job description
Play a part in the next revolution in human-computer interaction on all of Apple's Platforms; iOS, watchOS, macOS, tvOS and visionOS. Contribute to a product that is redefining mobile computing, and work with the people who created the intelligent assistant that helps millions of people get things done — just by asking.
Join the Siri Speech team at Apple in Cupertino, CA. The Siri Speech team is looking for outstanding Software Engineers to help to build the most reliable Assistant and Dictation experience. You will help productize modern deep learning techniques running on custom Apple hardware that also adhere to Apple's high standards on Privacy, and create cutting edge products that push the envelope on the future of speech technology.
Key Qualifications
- Strong application development experience
- Strong API design knowledge
- Outstanding communication skills
- Background in Applied Machine Learning a plus but not required
- Development experience at the application level with Objective-C Cocoa, Swift, or C++ is a plus
Description
We are looking for a talented Software Engineer who is excited by the prospect of working on Siri and Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Performance, and Distributed Training of automatic speech recognition on Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
Education & Experience
B.S or M.S in Computer Science, or equivalent 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 $116,105.60 and $208,300.00 annualized, 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.
We are looking for a talented Software Engineer who is excited by the prospect of working on Siri and Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Performance, and Distributed Training of automatic speech recognition on Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. B.S or M.S in Computer Science, or equivalent experience
Job tags
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