AI Research Engineer - Pre training
Tasks
- Collaborate with engineering and research teams
- Conduct ML experiments and analyze results
- Design AI model pre training pipelines
- Develop and optimize distributed GPU training systems
- Enhance distributed training scalability reliability and efficiency
- Identify and resolve training bottlenecks
- Improve data curation strategies
- Optimize training methodologies for model quality and efficiency
- Research and prototype large language model architectures
- Research and prototype multimodal AI architectures
Perks/Benefits
- Access to high performance GPU clusters
- Flexible work location
- Fully remote work
- Professional growth opportunities
Skills/Tech-stack
Data Curation | Deep learning | Distributed Computing | Distributed machine learning | GPU Training | JAX | Machine Learning | Parallel training | PyTorch | Python | TensorFlow | Transformer
Education
Roles
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