採用
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
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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
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About Apple

Apple
PublicA 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
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