AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tasks
- Conduct large scale pre training for LLMs and multimodal models
- Contribute to distributed training systems scalability and hardware efficiency
- Curate and filter large scale multimodal datasets
- Debug and eliminate pre training bottlenecks and training inefficiencies
- Design prototype and scale model architectures and tokenizers
- Run experiments analyze results and refine training methodologies
Perks/Benefits
Skills/Tech-stack
Alignment | Data Curation | Distributed Training | Hugging Face | Language Models | Large Language Models | Machine Learning | Multimodal Learning | NLP | Pretraining | PyTorch | Tokenization | Transformer
Education
Roles
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