All roles

[Work From Home] Machine Learning Research Engineer, Audio R&D

Remote · USA Full-time New today

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.

 

 

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 Apple’s innovative products, including the Mac, iPhone, iPad, 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, FaceTime, media capture, playback, and API’s 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 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 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 To This Job

Related roles

[Work From Home] Machine Learning Software Engineer

Remote · USA Full-time

[Work From Home] Machine Operator 1st Shift

Remote · USA Full-time

[Work From Home] Machine Operator Production Technician

Remote · USA Full-time

[Work From Home] Machinist entry level

Remote · USA Full-time

[Work From Home] Mail and Chat Agent

Remote · USA Full-time

[Work From Home] Mail Center Clerk

Remote · USA Full-time

[Work From Home] Mail Delivery Clerk

Remote · USA Full-time

[Work From Home] Mail Delivery Specialist

Remote · USA Full-time

[Work From Home] Mail Dispatch Associate

Remote · USA Full-time

[Work From Home] Mail Distribution Specialist

Remote · USA Full-time

Hiring Now: Customer Service Associate - Remote

Remote · USA Full-time

Virtual Assistant - Hotline Crisis Intervention *REMOTE*

Remote · USA Full-time

Finance and Strategy Manager

Remote · USA Full-time

Experienced Customer Service Representative – Virtual Call Center Operations

Remote · USA Full-time

Experienced Part-time Remote Data Entry Clerk – Precision and Efficiency in arenaflex's Operations

Remote · USA Full-time

Experienced Chat Moderator – Remote Community Management and Moderation

Remote · USA Full-time

Looking For Experienced Genre Writers (New York, London, Berlin, Japan, Hong Kong, Italy, Paris)

Remote · USA Full-time

Bilingual Spanish/English Math/ELA/ELD Virtual Tutor

Remote · USA Full-time

Experienced Customer Support Representative – Remote Chat and Email Support

Remote · USA Full-time

Senior Software Engineer - Golang / TypeScript

Remote · USA Full-time