Machine Learning System Engineer - Data AML - Soaring Star Talent Program
Tasks
- Apply heterogeneous hardware in recommendation systems
- Apply hybrid precision techniques
- Build large-scale distributed systems
- Build multimodal inference engines
- Design multimodal co training architectures
- Develop multimodal training frameworks
- Implement sparse mixture of experts
- Perform technical documentation updates
- Use memory networks
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | C++ | Cloud Computing | Distributed Storage | Distributed Systems | Django | Flask | GPU | Go | High Performance | High-Performance Computing | Hybrid Precision | Java | Kubernetes | Linux | MXNet | Machine Learning | Mixture of Experts | Neural Networks | Performance Computing | PyTorch | Python | TensorFlow
Education
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