AI Research Engineer - Pre training
Tasks
- Collaborate with research and engineering teams
- Conduct training experiments and analyze results
- Design large scale AI pre training pipelines
- Develop and optimize transformer architectures
- Enhance distributed training systems for reliability and efficiency
- Implement data curation and baseline improvements
- Optimize distributed training performance
- Prototype large language model and multimodal models
- Resolve bottlenecks in scalability and compute optimization
Perks/Benefits
- Advanced computing infrastructure access
- Collaborative global culture
- Fast-paced innovation culture
- Flexible autonomous work culture
- Flexible work location
- Fully remote work
- High-performance GPU clusters
- Professional growth opportunities
Skills/Tech-stack
Data Curation | Deep learning | Distributed Training | Experimentation | GPU Computing | JAX | Machine Learning | Model Optimization | Parallel training | Performance Tuning | PyTorch | Python | Scalability | TensorFlow | Transformers
Education
Roles
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