Research Scientist Intern - Large-Scale Machine Learning Systems (SysML) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Tasks
- Apply mixed precision for training and inference
- Build high performance multimodal inference engines
- Design multimodal co training architectures
- Develop large scale multimodal recommendation systems
- Develop multimodal training frameworks
- Implement heterogeneous hardware adaptation
- Optimize sparse mixture of experts
- Unify multimodal representations and multimodal fusion
- Use memory networks for recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Distributed Storage | Django | Docker | Federated Learning | Flask | GPU | Go | High Performance | High-Performance Computing | Java | Kubernetes | Language Processing | Linux | MXNet | Machine Learning | Memory Networks | Mixed Precision | Mixture of Experts | Multimodal Learning | Multimodal fusion | Natural Language | Natural Language Processing | Performance Computing | PyTorch | Python | Recommendation Systems | Sparse Mixture of Experts | TensorFlow
Education
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