AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tasks
- Build distributed training systems for scalable hardware efficient training
- Conduct large scale pre training for LLMs and multimodal models
- Debug and optimize training bottlenecks in efficiency and stability
- Design and prototype model architectures tokenizers and cross modal alignment layers
- Execute machine learning experiments analyze results and refine training methodologies
- Source filter and curate large scale text and multimodal datasets
Perks/Benefits
Skills/Tech-stack
Cross-modal alignment | Data Curation | Data Pipelines | Distributed Training | Hugging Face | Language Models | Large Language Models | Modal Alignment | Multimodal Learning | Pretraining | PyTorch | Tokenizers | Transformer Models
Education
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