Speech & Audio ML Algorithm Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative Machine Learning, Machine Learning Pipelines, Audio Algorithm Development, Python, Software Engineering Practices, Multimodal Encoding, Diffusion, Flow Matching, Distillation, Real-time Speech Processing, Audio Processing, Psycho-acoustics, Speech Modeling, Language Modeling

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Audio and Media Technologies (AMT) team is at the center of audio & video processing in Apple’s innovative products, including iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV, and Vision Pro. AMT’s Audio team provides the audio foundation for various high profile features like Phone Calls, FaceTime, Siri, Audio Content Creation, Spatial Audio, and Media Capture and Playback. As part of the Audio Algorithms group, you will research and develop world class Audio Technologies across Apple products. DESCRIPTION The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing audio technologies at Apple. As a member of the team, you will work together with other researchers to develop cutting-edge machine learning technologies for audio processing. You will research, implement, and optimize these features on Apple's products as we push the state of the art in audio technologies. You'll collaborate with multiple teams across product development, Acoustics, Audio Software, and others to integrate your ideas into products and build future technologies that will impact billions of Apple customers. MINIMUM QUALIFICATIONS Hands-on experience in generative machine learning Hands-on experience developing machine learning pipelines Research experience in audio algorithm development using machine learning (released product features, patents, papers, etc.) Proficiency in Python and common software engineering practices PREFERRED QUALIFICATIONS MS/PhD in Computer Science or Electrical Engineering Experience with multimodal encoding, diffusion, flow matching, distillation Familiarity with developing ML for resource-constrained devices Familiarity with developing real-time speech and audio processing software Familiarity with psycho-acoustics, speech, and language modeling.

Responsibilities

The engineer will research and develop cutting-edge machine learning technologies for audio processing, collaborating with researchers to advance audio technologies across Apple products. Responsibilities include researching, implementing, and optimizing these features while integrating ideas with cross-functional teams like Acoustics and Audio Software.