Summary

Posted: Mar 26, 2024

Weekly Hours: 40

Role Number:200544662

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 WiML 2024 who are interested in full-time opportunities at Apple.

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.

• Strong machine learning background
• 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, PyTorch
• Experience with speaker recognition and related technologies
• Curious about new technologies and passionate about exploring new use cases

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

• 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.