AI Research Engineer (Model Compression & Quantization)
Tasks
- Address inference bottlenecks in production
- Analyze efficiency accuracy trade offs across compression methods
- Apply low bit quantization to reduce model size and latency
- Author technical papers for top tier conferences
- Build compression pipelines and evaluation metrics
- Develop mixed precision quantization and advanced compression strategies
- Document research experiments and results
- Implement pruning to remove redundant parameters and attention heads
- Use knowledge distillation to compress multimodal models
Perks/Benefits
Skills/Tech-stack
Backpropagation | C++ | Fine Tuning | Knowledge Distillation | Mixed Precision | Model Pruning | Network Architecture | Neural Network | Neural Network Architecture | Optimization | Post-training | Post-training Quantization | PyTorch | Quantization aware training | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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