Internship - Research Intern, Speech & Language Processing

Summary Please note this internship will be a minimum of three months, you must be enrolled as a student on a PhD course and available to start no later than 1st June 2027 Within Apple’s Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple’s fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. Description In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate, you will have the opportunity to submit your work for publication at a suitable conference. We are offering a research internship opportunity to work directly with our research team in Copenhagen, Denmark on projects ranging from multilingual automatic speech recognition (ASR) to multilingual speech language models (SpeechLMs). The internship topic can be fitted to the candidate's interests, with example topics including language interference and cross-lingual transfer, the effect of training data composition on multilingual generalization, low-resource languages and dialects, efficient adaptation and continual learning, self-supervised and multimodal learning, and interpretability of multilingual speech models. Minimum Qualifications

• Working towards a doctoral degree in computer science, engineering, data science, applied mathematics, cognitive science, computational linguistics or equivalent.
• In-depth knowledge of deep learning and statistical machine learning, with strong Python programming skills and experience with ML libraries such as PyTorch or TensorFlow
• Research experience in multilingual or cross-lingual speech and language processing, such as ASR, speech LMs, or audio language models
• Interest in Speech and Language Processing
• Strong demonstrable record of publishing academic research in ML-related peer-reviewed venues (NeurIPS, ICLR, ICML...), including language- and speech-specific ones (e.g. *ACL, Interspeech, ICASSP)
• Ability to collaborate with others and to deliver ML technologies aligned with Apple's core values: the highest standards of quality, scientific rigour, innovation, and respect for user privacy

Preferred Qualifications

• Experience training or fine-tuning large speech or language models
• Experience with language interference, cross-lingual transfer, or low-resource languages and dialects
• Interest in the interpretability and efficient adaptation of speech models

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