[Work From Home] Machine Learning Research Engineer, Audio R&D
A new position has opened up at workwarp for a Machine Learning Research Engineer, Audio R&D! Our Remote office provides a state-of-the-art and comfortable workspace. This position requires a strong and diverse skillset in relevant areas to drive success. A salary of a competitive salary is offered, reflecting your skills and experience. Â Â Summary
Posted: Sep 30, 2024
Weekly Hours: 40
Role Number:200570172
The AMT Audio team is looking for a highly motivated and dedicated 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 AppleÂs innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMTÂs Core Audio team provides audio foundation for various high profile features like Siri, phone calls, FaceTime, media capture, playback, and APIÂs for third party developers to enrich our platforms. The team is looking for hardworking 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.
Description
Description
As part of the audio team, you will:
Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding.
Train, fine tune and compress models for production
Contribute to the teamÂs 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
Minimum Qualifications
Minimum Qualifications
 Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
 Experience building machine learning pipelines
 Excellent software architecture and programming skills in Python, C, C++
 Knowledge of audio technologies
 MS, in CS or EE, industry and research experience
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
 Proven experience in machine learning development, including audio and speech applications.
 Experience optimizing and compressing machine learning models for resource constrained platforms.
 Familiarity and experience with multimodal large language models (LLMs)
 Demonstrated innovation in machine learning (patents, publications)
 Fundamentals of audio and speech signal processing
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
More
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apply Job! We Encourage You to Apply!Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
Apply Now
Posted: Sep 30, 2024
Weekly Hours: 40
Role Number:200570172
The AMT Audio team is looking for a highly motivated and dedicated 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 AppleÂs innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMTÂs Core Audio team provides audio foundation for various high profile features like Siri, phone calls, FaceTime, media capture, playback, and APIÂs for third party developers to enrich our platforms. The team is looking for hardworking 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.
Description
Description
As part of the audio team, you will:
Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding.
Train, fine tune and compress models for production
Contribute to the teamÂs 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
Minimum Qualifications
Minimum Qualifications
 Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
 Experience building machine learning pipelines
 Excellent software architecture and programming skills in Python, C, C++
 Knowledge of audio technologies
 MS, in CS or EE, industry and research experience
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
 Proven experience in machine learning development, including audio and speech applications.
 Experience optimizing and compressing machine learning models for resource constrained platforms.
 Familiarity and experience with multimodal large language models (LLMs)
 Demonstrated innovation in machine learning (patents, publications)
 Fundamentals of audio and speech signal processing
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
More
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apply Job! We Encourage You to Apply!Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
Apply Now