AI Research Engineer - Pre training
Tasks
- Conduct ML experiments and analyze training results
- Design large scale AI pre training pipelines
- Develop and optimize distributed GPU training systems
- Enhance distributed training reliability and scalability
- Improve data curation strategies for model training
- Optimize model performance scalability and compute efficiency
- Research and prototype transformer and multimodal architectures
Perks/Benefits
- Autonomous work culture
- Flexible work location
- Fully remote
- High performance GPU access
- Professional growth opportunities
Skills/Tech-stack
Deep learning | Distributed Training | GPU Computing | JAX | Machine Learning | Parallel Computing | PyTorch | Python | TensorFlow | Transformers
Education
Roles
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