AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tasks
- Conduct large scale pre training for LLMs and multimodal models
- Contribute to distributed training systems for scalability and hardware efficiency
- Debug bottlenecks in model efficiency and training stability
- Design and prototype model architectures and cross modal alignment layers
- Run experiments analyze results and refine training methodologies
- Source filter and curate large scale textual and multimodal datasets
Perks/Benefits
Skills/Tech-stack
Continual pretraining | Data Pipelines | Distributed Training | Hugging Face | Language Models | Language Processing | Large Language Models | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Tokenizers | Transformer Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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