Machine Learning Engineer — Distillation
Tasks
- Analyze experimental results to improve models
- Collaborate with research teams to productionize techniques
- Design knowledge distillation pipelines
- Develop internal evaluation and experiment tracking tools
- Distill foundation models into smaller models
- Evaluate model quality latency efficiency and cost tradeoffs
- Implement multi teacher distillation
- Implement self distillation
- Implement teacher student distillation
- Optimize inference performance throughput latency and compute efficiency
- Optimize training performance and memory usage
- Run large scale machine learning experiments
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | Experiment tracking | Inference Optimization | JAX | Kernel optimization | Knowledge Distillation | Loss Functions | Machine Learning | Model Evaluation | Model Optimization | Multi-GPU | Neural Networks | Pruning | PyTorch | Quantization | Training dynamics
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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