AI Research Engineer - Pre training
Tasks
- Analyze results and refine methodologies
- Build scalable training frameworks
- Collaborate to translate research to production ready systems
- Conduct large scale pre training on distributed GPU clusters
- Design experiments for training efficiency
- Develop large scale pre training systems
- Identify training and data bottlenecks
- Improve distributed training infrastructure
- Optimize model architectures
Perks/Benefits
- Access to high performance computing infrastructure
- Collaborative research environment
- High autonomy
- Professional growth
- Remote-friendly work environment
Skills/Tech-stack
Data pipeline | Data pipeline optimization | Debugging | Deep learning | Distributed Training | Experiment design | GPU Computing | Hugging Face | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Performance optimization | Pipeline Optimization | PyTorch | Training Pipeline | Training pipeline optimization | Transformer
Education
Roles
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