Research Scientist Intern - Large-Scale Machine Learning Systems (SysML) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Tasks
- Adapt models for heterogeneous hardware
- Apply mixed precision for training and inference
- Build multimodal training frameworks
- Contribute to large scale pretrained model research
- Design multimodal representation fusion
- Develop high performance multimodal inference engines
- Explore multimodal co training architectures
- Improve memory networks
- Optimize sparse MoE models
- Research multimodal recommendation systems
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Federated Learning | Heterogeneous hardware | Language Processing | Machine Learning | Memory Networks | Mixed Precision | Mixture of Experts | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Recommendation Systems | Sparse Mixture of Experts
Education
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