Requirements

Candidates must be currently enrolled in a PhD program with a specialization in machine learning, deep learning, natural language processing, or speech processing. They should have at least 2 years of experience in training and fine-tuning large models, particularly audio language models and multi-modal foundation models. Familiarity with the end-to-end model building pipeline for machine learning tasks, including dataset curation, model implementation, benchmarking, and result analysis, is required. Experience with distributed multi-GPU training and prior publications in reputable ML, audio, or NLP research venues is also necessary.