Summary Posted: Oct 25, 2023 Weekly Hours: 35 Role Number: 200512451 Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Speech team at Apple. The Siri team is looking for exceptionally skilled and creative Research Engineers/Scientists eager to get involved in hands-on work improving the Siri experience. Key Qualifications Key Qualifications Strong background on deep learning architectures and signal processing Very good mathematical background especially on optimization and stochastic processes, estimation theory Extended experience in software design, coding and testing in Python Proficiency with TensorFlow and PyTorch Curiosity and passion for exploration Description Description You will be part of a team that works on sophisticated end-to-end neural based system response. Your focus will be on investigating technology innovations in optimizing large networks enabling advanced models to be applied in practice for improving our users experience interacting with Siri. To achieve real impact, you will create new prototypes, and software libraries, as well as help develop standards for new approaches ensuring Siri response meet high standards.
You are a teammate who thrives in a rapidly changing priorities environment.
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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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Education & Experience Education & Experience MSc or PhD in science, engineering, applied mathematics, or equivalent. Additional Requirements Additional Requirements
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