AI/ML - Intern NLP and Speech Recognition (Machine Learning) - SII

Summary Posted: Dec 15, 2022 Weekly Hours: 35 Role Number:200412082 As part of Apple's Siri Perception team, we produce groundbreaking features that make their way to almost every Apple device. We are offering amazing internship opportunities to work directly with our R&D team in Cambridge, UK. Collaborate with some of the best in the business and see how we create the world's most innovative products and experiences. Our internships are a minimum of three months and you must be available to start no later than 1st June 2023. Key Qualifications

• MSc / PhD student studying computer science or related subject
• Experience in applying Deep Learning to NLP and speech/audio applications
• Proficiency in Python and PyTorch

Description Our aim is to create an experience that allows you to learn without pressure, gain practical skills, build real world experience, develop a greater understanding of our industry and form valuable connections. You will join an extraordinary team, including world-class software engineers and leading machine learning practitioners who are all passionate about applying groundbreaking techniques to AI. You will work directly with your mentor on a well defined project combining NLP and speech recognition in an E2E learning framework. At the end of your internship, you will have the chance to meet and present your work to the AI/ML leadership. Education & Experience Pursuing a Masters or PhD in Computer Science, or related technical field. 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.