Speech Algorithms Software Engineer

Join Our Dynamic Audio Algorithms Team

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and exciting opportunity to craft upcoming products and services that will delight and inspire millions of Apple's customers every single day.

Apple is seeking highly skilled and creative engineers interested in advancing speech and audio technologies on the audio algorithms team. As a member of the team, you will research multimodal deep learning approaches to leverage audio, video, and other signals for improving speech and audio acquisition. You will work alongside a group of researchers developing machine learning and multichannel signal processing technologies for speech enhancement including source separation, adaptive beamforming, de-reverberation, and source localization. You'll collaborate with multiple teams across product development, software, and Siri to integrate your ideas into products and build future technologies that will impact millions of Apple customers.

As an member of the audio algorithms team, this engineer will research and invent novel solutions for challenging speech and audio problems that directly affect the future of Apple products. This team is part of the Audio & Media Technologies Group in Software Engineering which provides audio, video, and graphics support across all Apple products, including iPhone, iPad, HomePod, AirPods, Apple TV, Mac, and Apple Watch. The Audio Software group is a hardworking group of audio engineers and researchers building high profile features such as FaceTime, Siri, music playback, audio/video capture, and game audio for macOS, iOS, watchOS and tvOS.

We are excited to add a member to our team with the above qualifications!

Minimum Qualifications

• PhD in Computer Science or related
• Research experience in audio or speech algorithm development (patents, papers, etc.)
• Experience in machine learning for audio or speech processing

Preferred Qualifications

• Experience with multi-microphone algorithm development
• Proven understanding of deep learning toolkits (TensorFlow, PyTorch, etc.)
• Fluency in Python
• Experience with machine learning methods for video scene understanding a plus
• Experience with speech recognition systems and toolkits a plus

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 $147,400 and $220,900, 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.

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.