Miclaw-大模型训练推理方向实习生
Tasks
- Collaborate with model system and chip teams
- Convert research into production engineering solutions
- Evaluate model performance in edge scenarios
- Explore edge friendly MoE inference strategies
- Implement model chip co design for joint optimization
- Optimize KV cache and attention for long context
- Reproduce state of the art inference techniques
- Research large model inference optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | C++ | CUDA | Compiler optimization | Deep learning | FlashAttention | High Performance | High-Performance Computing | INT4) | INT8 | KV cache | Machine Learning | Model Compression | Parallel Computing | Performance Computing | Performance optimization | Python | Quantization | Sparse attention | Speculative decoding
Education
Roles
AI | AI Research Intern | Intern | Research Intern | Software Engineer | Software Engineer Intern
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