AI Research Engineer - Pre training
Tasks
- Conduct ML experiments and analyze results
- Design AI model pre training pipelines
- Develop data curation strategies
- Identify and resolve training and scalability bottlenecks
- Iterate training methodologies for quality and efficiency
- Optimize distributed GPU training systems
- Optimize model performance and compute efficiency
- Research and prototype language model architectures
- Research and prototype multimodal AI systems
Perks/Benefits
- Autonomy
- Collaborative global culture
- Flexible location
- Fully remote
- High performance GPU access
- Professional growth opportunities
Skills/Tech-stack
Deep learning | Distributed Training | GPU Computing | JAX | Language Models | Large Language Models | Machine Learning | Model Scaling | Parallel Computing | Performance Tuning | PyTorch | Python | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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