AI Research Engineer - Pre training
Tasks
- Analyze training results
- Collaborate with engineering and research teams
- Design AI model pre training pipelines
- Enhance training infrastructure for operational efficiency
- Identify and resolve training bottlenecks
- Implement data curation strategies
- Improve model quality and efficiency
- Optimize distributed GPU training performance
- Optimize distributed training scalability reliability
- Prototype large language model architectures
- Research transformer architectures
- Train and iterate model experiments
Perks/Benefits
- Flexible autonomous work culture
- Fully remote work
- High-performance GPU clusters
- Professional growth opportunities
Skills/Tech-stack
Data Curation | Deep learning | Distributed Computing | Distributed machine learning | GPU Training | JAX | Machine Learning | Model Scaling | Parallel training | Performance Tuning | PyTorch | Python | TensorFlow | Training Optimization | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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