Machine Learning Research Engineer, Audio R&D

Machine Learning Research Engineer, Audio R&D Cambridge,Massachusetts,United States Software and Services 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 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 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 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 Additional Requirements 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .