AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tasks
- Advance distributed training systems for scalability and hardware efficiency
- Conduct large scale pre training for LLM and multi modal models
- Debug optimize model efficiency computational performance and alignment stability
- Design prototype scale architectures alignment layers and tokenizers
- Execute experiments analyze results refine training methodologies
- Source filter curate multi modal and text datasets
Perks/Benefits
Skills/Tech-stack
Data Curation | Data Pipelines | Deep learning | Distributed Training | Hugging Face | Language Models | Large Language Models | Multi-Modal | Pretraining Optimization | PyTorch | Transformer Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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