Machine Learning Engineer — Distillation
Tasks
- Analyze experiment results to improve performance
- Design knowledge distillation pipelines
- Develop internal tools and evaluation frameworks
- Distill foundation models into smaller models
- Evaluate model quality latency efficiency and cost
- Improve machine learning workflows and best practices
- Optimize training and inference performance
- Run large scale machine learning experiments
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | JAX | Kernel optimization | Knowledge Distillation | Machine Learning | Model Evaluation | Model Optimization | Multi-GPU | Neural Networks | Pruning | PyTorch | Quantization
Education
N/A
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