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machine learning tokenization multimodal vector_quantization📋 Description
- Advance multimodal data at scale (images, audio, video)
- Synthesize multimodal content and supervision
- Improve noisy data pipelines and build quality filters
- Automate data preparation with models
- Measure dataset changes on model performance
- Research and deliver data-understanding work at scale
🎯 Requirements
- Strong track record of ML ideas via publications or projects
- Own and drive a research agenda across multimodal data problems
- Comfortable with empirical, collaborative research approach
- Nice to have: multimodal ML (audio/vision/video)
- Thoughtfulness about AI impact: privacy, provenance, and data quality
- Experience building high-performance DL or large-scale data systems
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