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Speech & Audio ML Algorithm Engineer

Apple

Speech & Audio ML Algorithm Engineer

Apple

Culver City, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Remote work flexibility

Learning and development stipend

Flexible PTO policy

Health, dental, and vision coverage

Required Skills

PyTorch

Python

Airflow

Speech & Audio ML Algorithm Engineer

3 weeks ago• Culver City, CA
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees

Industry: Technology, Information Technology, Software, Consumer Goods & Services

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 i Phone, i Pad, Mac, Apple Watch, Air Pods, Home Pod, Apple TV, and Vision Pro.

AMT's Audio team provides the audio foundation for various high profile features like Phone Calls, Face Time, 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.

Preferred Qualifications:

MS/Ph

D 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

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Familiarity with psycho-acoustics, speech, and language modeling.

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

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. Learn more about your EEO rights as an applicant .

Client-provided location(s): Culver City, CA

Job ID: apple-200621300-0670_rxr-660

Employment Type: OTHER

Posted: 2026-01-07T19:12:52
Apply on company site

Perks and Benefits

Health and Wellness

Parental Benefits

Work Flexibility

Office Life and Perks

Vacation and Time Off

Financial and Retirement

Professional Development

Diversity and Inclusion

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0 reports

$121,979

total / year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit