AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tasks
- Conduct large scale pre training
- Curate multi modal datasets
- Design tokenizers and alignment layers
- Develop AI model architectures
- Improve distributed training scalability
- Optimize and debug training performance
- Run and analyze experiments
Perks/Benefits
Skills/Tech-stack
Computational Performance Debugging | Data Curation | Distributed Training | Experimental Research | Hugging Face | Language Models | Large Language Models | Model Optimization | Multi-Modal | Multi-Modal Learning | Performance debugging | Pretraining | PyTorch | Tokenization | Transformer
Education
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