Jobs
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Learning and development stipend
•Remote work flexibility
•Annual team offsites
Required Skills
Python
TensorFlow
Apache Spark
About the Role
The AMT Audio team is looking for a highly motivated and talented research and development machine learning engineer to develop models for speech and audio applications.
The Audio and Media Technologies (AMT) is at the center of Apple's innovative products, including the Mac, i Phone, i Pad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMT's Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API's for third party developers to enrich our platforms. The team is looking for talented engineers who are passionate about building audio software products for millions of customers and care about overall user experience. You will be revolutionizing and contributing to future audio technologies.
Responsibilities
As part of the audio team, you will develop machine learning models for speech enhancement, augmented hearing and hearing health applications. Train, fine-tune and compress models for production. Contribute to the team's workflows building pipelines, writing datasets, and creating evaluation frameworks. Participate in cross-functional teams developing features and shipping products. Create intellectual property in the form of patents and publications.
Preferred Qualifications
- Experience developing models and algorithms for speech enhancement, source separation and assistive hearing
- Demonstrated innovation in machine learning for audio (patents, publications)
- Fundamentals of audio and speech signal processing
- PhD, in CS or EE, Industry and research experience
Minimum Qualifications
- 4+ years experience in machine learning development, including audio and speech processing applications.
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
- Experience building machine learning pipelines
- Experience optimizing and compressing machine learning models for resource constrained platforms.
- Excellent software architecture and programming skills in Python, C, C++
- Knowledge of audio technologies
- MS, in CS or EE, industry and research experience
Equal Opportunity
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.
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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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