AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation
Tasks
- Build optimization methods
- Conduct large-scale training experiments
- Create teacher student training pipelines
- Design efficient on device inference architectures
- Design pre-training objectives
- Develop data mixtures strategies
- Evaluate pretrained model capabilities
- Implement knowledge distillation
- Research multimodal foundation model architectures
- Study offline and on policy distillation
Perks/Benefits
- N/A
Skills/Tech-stack
Co-design | Curriculum learning | Data Mixtures | Deep learning | Distributed Training | Efficient Attention | Hardware-Software Co-design | Hardware/software | Inference Optimization | JAX | Knowledge Distillation | Machine Learning | Mixture of Experts | Model Evaluation | Multimodal Learning | On-device Inference | Optimization | Pre-training | PyTorch | Software Co-design | State Space Models | State-Space | Tokenization | Transformers
Education
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