优才-多模态交互算法工程师-X-Lab
Tasks
- Analyze model failures with data label and deployment attribution
- Apply PTQ and QAT
- Build hard slices and replay evaluation
- Build multimodal model training pipeline
- Collaborate on runtime fast slow path
- Conduct model pruning and KV cache optimization
- Create reproducible evaluation and regression testing
- Design distillation loss and hard negative mechanism
- Export models to ONNX and TensorRT
- Improve latency memory and power efficiency
- Model interaction semantics and task definition
- Optimize model compression and deployment
- Perform teacher student distillation
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | Benchmarking | Computer Vision | Deep learning | Hard Negative Mining | KV cache | Knowledge Distillation | Language Models | Large Language Models | Latency optimization | LoRA | Loss Function | Memory Optimization | Model Compression | Multimodal Learning | Negative mining | ONNX | Post-training | Post-training Quantization | Power Optimization | Pruning | PyTorch | Python | Quantization aware training | RLHF | SFT | Speech Processing | TensorRT | Transformer | VLM
Education
N/A
Regions
Countries
States
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