Machine Learning Engineer — Distillation
Tasks
- Analyze experiment results
- Collaborate with research teams to productionize new techniques
- Contribute to open source models and research tooling
- Design knowledge distillation pipelines
- Develop internal tools evaluation frameworks and experiment tracking
- Distill foundation models for production inference
- Evaluate model quality latency efficiency and cost tradeoffs
- Improve machine learning workflows and engineering best practices
- Optimize training and inference performance
- Run large scale machine learning experiments
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | Experiment tracking | JAX | Kernel optimization | Knowledge Distillation | Language Models | Large Language Models | Loss Functions | Machine Learning | Model Evaluation | Model Optimization | Multi-GPU | Neural Networks | Pruning | PyTorch | Quantization | Training dynamics
Education
N/A
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