AI Research Engineer (Model Compression & Quantization)
Tasks
- Address bottlenecks in production inference
- Analyze efficiency accuracy tradeoffs for compression methods
- Apply low bit quantization to reduce model size and latency
- Author technical papers and publish research
- Build compression pipelines
- Document experiments and results
- Establish performance and fidelity metrics
- Implement pruning to remove redundant parameters and attention heads
- Leverage knowledge distillation to compress multimodal models
- Research mixed precision quantization and advanced compression strategies
Perks/Benefits
Skills/Tech-stack
Backpropagation | C++ | Fine Tuning | Knowledge Distillation | Mixed Precision | Model Pruning | Optimization | Post-training | Post-training Quantization | PyTorch | Quantization aware training | Transformers
Education
Roles
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