Machine Learning Engineer — Distillation
Tasks
- Collaborate with research teams for production implementations
- Design knowledge distillation pipelines
- Develop evaluation frameworks experiment tracking systems
- Distill large models into smaller models
- Evaluate model quality performance latency efficiency cost
- Optimize inference performance quantization pruning
- Optimize training performance memory throughput latency
- Run large scale machine learning experiments
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | Experiment tracking | GPU Computing | Inference Optimization | JAX | Kernel optimization | Knowledge Distillation | Loss Functions | Machine Learning | Model Evaluation | Model Optimization | Multi-GPU | Multi-GPU computing | Neural Networks | Pruning | PyTorch | Quantization | Training dynamics
Education
N/A
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