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Audio Machine Learning Research Engineer

Apple

Software and Technology Jobs

Audio Machine Learning Research Engineer

full-timePosted: Oct 30, 2025

Job Description

Imagine what you could do at Apple! Every day, 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 support in Apple’s innovative products, including AirPods, HomePod, Mac, iPhone, iPad, Apple Watch, Apple TV, and Vision Pro. AMT’s Audio team provides the audio foundation for various high-profile features like 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. The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel 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.

Locations

  • Cambridge, Massachusetts, United States 02139
  • Culver City, California, United States 90232

Salary

Estimated Salary Rangemedium confidence

30,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • passion and dedicationintermediate
  • research and develop audio technologiesintermediate
  • develop novel machine learning technologiesintermediate
  • audio processingintermediate
  • researchintermediate
  • implementintermediate
  • optimize featuresintermediate
  • collaborate with multiple teamsintermediate

Required Qualifications

  • Research experience in speech or audio algorithm development using machine learning (released product features, patents, papers, etc.). (experience)
  • Hands-on experience developing machine learning pipelines. (experience)
  • Fluency in Python, common software engineering practices, and version control. (experience)
  • Familiarity with spatial audio psychoacoustics, acoustics, and multi-microphone processing. (experience)

Preferred Qualifications

  • MS/PhD in Computer Science or Electrical Engineering. (degree in computer science or electrical engineering)
  • Experience developing real-time machine learning audio processing features. (experience)
  • Experience with generative machine learning (diffusion, flow matching, etc.). (experience)

Responsibilities

  • The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel 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.

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Apple logo

Audio Machine Learning Research Engineer

Apple

Software and Technology Jobs

Audio Machine Learning Research Engineer

full-timePosted: Oct 30, 2025

Job Description

Imagine what you could do at Apple! Every day, 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 support in Apple’s innovative products, including AirPods, HomePod, Mac, iPhone, iPad, Apple Watch, Apple TV, and Vision Pro. AMT’s Audio team provides the audio foundation for various high-profile features like 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. The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel 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.

Locations

  • Cambridge, Massachusetts, United States 02139
  • Culver City, California, United States 90232

Salary

Estimated Salary Rangemedium confidence

30,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • passion and dedicationintermediate
  • research and develop audio technologiesintermediate
  • develop novel machine learning technologiesintermediate
  • audio processingintermediate
  • researchintermediate
  • implementintermediate
  • optimize featuresintermediate
  • collaborate with multiple teamsintermediate

Required Qualifications

  • Research experience in speech or audio algorithm development using machine learning (released product features, patents, papers, etc.). (experience)
  • Hands-on experience developing machine learning pipelines. (experience)
  • Fluency in Python, common software engineering practices, and version control. (experience)
  • Familiarity with spatial audio psychoacoustics, acoustics, and multi-microphone processing. (experience)

Preferred Qualifications

  • MS/PhD in Computer Science or Electrical Engineering. (degree in computer science or electrical engineering)
  • Experience developing real-time machine learning audio processing features. (experience)
  • Experience with generative machine learning (diffusion, flow matching, etc.). (experience)

Responsibilities

  • The Audio Algorithms team is seeking a highly skilled and creative engineer interested in advancing speech and audio technologies at Apple. As a member of the team, you will work together with other researchers to develop novel 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.

Target Your Resume for "Audio Machine Learning Research Engineer" , Apple

Get personalized recommendations to optimize your resume specifically for Audio Machine Learning Research Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Audio Machine Learning Research Engineer" , Apple

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Hardware

Answer 10 quick questions to check your fit for Audio Machine Learning Research Engineer @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.