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