Intern Researcher – AI Foundation Model Training
Tasks
- Apply parallelization strategies
- Build and optimize distributed training systems
- Collaborate with hardware architects on experiments
- Contribute to post training optimization
- Develop and optimize foundation models
- Experiment with model architecture improvements
- Explore hardware aware model efficiency methods
- Optimize computational graphs
- Perform performance benchmarking and analysis
- Prototype to improve model and system performance
- Research continual learning approaches
- Support operator level optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI agent systems | Agent systems | Architecture Search | Computational Graph Optimization | Computational graph | Computer Architecture | Context modeling | Continual Learning | Data parallelism | Deep learning | Distributed Training | GPU Computing | Graph optimization | Interconnects | Language Models | Large Language Models | Long Context | Long Context Modeling | Memory systems | Mixture of Experts | Model Parallelism | Multimodal Models | Neural Architecture | Neural Architecture Search | Operator optimization | Performance Benchmarking | PyTorch | Reinforcement Learning | Tensor Parallelism | Transformer
Education
Roles
AI | AI Researcher | Intern | Research Intern | Researcher
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