AI Research Engineer (Model Compression & Quantization)
Tasks
- Apply pruning to reduce parameters and compute
- Apply quantization to reduce model size and latency
- Build compression pipelines
- Define performance and fidelity metrics
- Develop model compression strategies
- Document experiments and results
- Implement knowledge distillation for smaller multimodal models
- Optimize inference bottlenecks in production
- Publish technical papers
- Research mixed precision quantization methods
Perks/Benefits
Skills/Tech-stack
Backpropagation | Finetuning | GenerativeAI | KnowledgeDistillation | MixedPrecision | ModelPruning | MultimodalAI | NeuralNetworkArchitectures | Optimization | PostTrainingQuantization | PyTorch | QuantizationAwareTraining | Transformers
Education
Roles
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