多模态交互算法工程师-X-Lab
Tasks
- Apply model compression quantization and pruning
- Build hard slices and replay evaluation
- Build multimodal training pipeline
- Collaborate on runtime fast slow path optimization
- Create reproducible model quality and regression evaluation
- Design distillation loss and hard negative mining
- Export models to ONNX and TensorRT
- Implement teacher student distillation
- Model interaction semantics and task definition
- Optimize inference with KV cache and latency improvements
- Perform model failure attribution analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | Checkpointing | Hard Negative Mining | KV cache | Knowledge Distillation | Loss Functions | Model Compression | Negative mining | ONNX | Post-training | Post-training Quantization | Pruning | PyTorch | Python | Quantization aware training | Regression testing | TensorRT | Transformer
Education
Regions
Countries
States
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