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Apple AIML - Machine Learning Research Intern Speech Recognition / NLP SII Singapore 430284482
01.06.2024
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Description
-Multi-lingual foundation model with focus on lower resource languages: transfer learning from higher resource languages, data augmentation such as synthetic data generation, cross-lingual embeddings, etc. Also cultural sensitivity and reliability can be another research area. -Data annotation leveraging large language model: research novel and creative methods to automate or assist the annotation process, making it faster, more consistent and more cost-effective.
Key Qualifications
- Strong background in applied machine learning and deep learning with experience in one of the following areas:
- - Speech recognition including but not limited to end-to-end ASR architectures, language modelling, multilingual ASR, decoding algorithms and personalization and adaptation
- - Natural Language Processing including but not limited to conversational interaction, machine translation, Knowledge Graph, Information Retrieval and Topic Modelling
- - Foundation Models including but not limited to building infrastructure, datasets, model architecture and evaluation methodologies.
- Strong software engineering abilities to turn research ideas into near production level demo prototypes
- Have strong passion for new emerging research and technologies
- Publication records demonstrating innovative research is a big plus
Education & Experience
Currently pursuing a PhD, Master’s degree in Machine Learning, Speech Recognition, Natural Language Processing or related areas. PhD candidate preferred.
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