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Apple AIML Resident - ASR Modeling 
United Kingdom, England, Cambridge 
126380032

14.12.2024
Description
The Automatic Speech Recognition (ASR) Modeling Team has been crafting and initiating major speech model changes over the years. We've grown on-device accuracy and private speech recognition to all major markets (40+ locales) and across various hardware platforms; each with diverse compute restrictions. Our team enables prominent product experiences featured in various WWDC announcements, such as Vision Pro and Apple Intelligence.
Minimum Qualifications
  • Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
  • Demonstrated ability to connect and collaborate with others
  • Graduate degree in a STEM field or equivalent industry experience in software engineering
  • Apple’s AIML residency is a one-year program starting in July 2025. Residents must be available to work full-time (40 hours/week) July 14, 2025 - July 10, 2026
Preferred Qualifications
  • Ideal candidates will also have academic, research, or industry experience in at least one of the following: Electrical Engineering, Signal Processing, Machine Learning & ML Research, or Natural Language Processing/Speech/Conversational AI. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
  • We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
  • APPLICATION DEADLINE: DECEMBER 16, 2024
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.