Tasks:
- * Adapt efficient training and inference frameworks
- * Build end-to-end model evaluation frameworks
- * Build large-scale speech data discovery and preprocessing pipelines
- * Define and curate high-quality speech datasets
- * Develop products for speech model capabilities
- * Develop reinforcement learning post-training for speech dialogue
- * Explore speech-native model architectures
- * Research generative speech pretraining
Perks/Benefits:
Skills/Tech stack required:
[C++] [Data Annotation] [Data cleaning] [Data pipeline] [Data Pipeline Engineering] [Data Processing] [Distributed Training] [Generative pretraining] [Inference deployment] [Inference frameworks] [Large-scale] [Large-scale model] [Large-scale Model Training] [Model Evaluation] [Model Inference] [Model Training] [Online Serving] [Performance optimization] [Pipeline engineering] [Python] [Reinforcement Learning] [Speech Data] [Speech data processing] [Speech modeling] [Training and inference] [Training and inference frameworks]
Educational requirements:
N/A
Role(s):
[AI Research Scientist] [Audio Machine Learning Researcher] [Machine Learning Researcher] [Researcher] [Research Scientist] [Scientist] [Speech AI Research Scientist]