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Emploi > Stages > Science/Recherche > Royaume-Uni > Cambridge > Détails de l'offre 

Siri Speech Internship

Apple
Royaume-Uni  Cambridge, Royaume-Uni
Stage, Science/Recherche, Anglais
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Description du poste:

The Speech Research team in Cambridge UK is looking for passionate PhD students to work on controllable speech generation system in the framework of multi-modal large language model. As a member of our team, you will contribute to pioneering research topics, collaborate with extraordinary machine learning and speech researchers, push forward innovative research agendas and publish ground-breaking research in international conferences.
The speech generation system with controllability enables the customers to control the speaker identity, accent and emotion of the synthetic speech and provides the personalised service to the customers. If you are interested in this topic, our team is the perfect place for you to explore this further. You will receive technical mentorship and guidance from a dedicated senior researcher and will be able to collaborate with a dynamic, multidisciplinary and international team of researchers and engineers. Together with your mentor, you will develop the technologies which will impact the scientific research community, future Apple products, and society.
Applicants need to be pursuing a PhD in Machine Learning, Computer Science, Statistics, or a related technical field. Strong mathematical skills in linear algebra and statistics. Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax Proven expertise in machine learning supported by a good publication record in relevant conferences (e.g. NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ICASSP, InterSpeech, AAAI, ACL …).
Ability to formulate a research problem, design, experiment and implement solutions. Ability to work in a collaborative environment

Origine: Site web de l'entreprise
Publié: 17 Dec 2025  (vérifié le 25 Dec 2025)
Type de poste: Stage
Secteur: Électronique grand public
Langues: Anglais
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