AI Research Engineer (Model Compression & Quantization)
Tasks
- Address production inference bottlenecks
- Analyze efficiency accuracy tradeoffs
- Apply low bit quantization
- Build compression pipelines
- Document methodologies experiments and results
- Establish performance and fidelity metrics
- Implement pruning techniques
- Leverage knowledge distillation
- Publish research papers
- Research mixed precision quantization
Perks/Benefits
Skills/Tech-stack
Backpropagation | C++ | Fine Tuning | Knowledge Distillation | Mixed Precision | Model Pruning | Neural Networks | Post-training | Post-training Quantization | PyTorch | Quantization | Quantization aware training | Transformers
Education
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