Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level.

This posting is for attendees of Interspeech 2022 who are interested in full-time opportunities at Apple.","key Qualifications":"Strong machine learning background in speech and/or language/text/dialogue processing field

In-depth hands-on experience in deep learning

Strong software engineering abilities, ideally C++, Java, and/or Python

Passion for building research demo prototypes and turning them into production quality design/implementation

Experience with deep learning toolkits, e.g. Tensorflow, Py Torch

Experience with speaker recognition and related technologies

Curious about new technologies and passionate about exploring new use cases

Description

At Apple, you will design, develop, and deploy large scale services and platforms. We're looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work to improve our speech technologies by applying machine learning. You will also collaborate with teams across Apple, who are building the newest, most compelling intelligent applications in the world. This is a unique opportunity to apply machine learning and deep learning techniques at the intersection of various areas such as speech recognition, natural language processing, multi-modal, TTS dialogue management, acoustic modeling, language modeling and tools development. You should be creative, enthusiastic, and ready to communicate and collaborate with multiple teams.","education And Experience":"PhD, MS, or BS in Machine Learning, Computer Science, or related fields.

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 .