Principal Machine Learning Engineer
Tasks
- Build end-to-end ML pipelines
- Deploy ML models in production
- Design data systems for synthetic and real world data
- Develop inference systems
- Implement evaluation pipelines
- Implement quantization and mixed precision
- Integrate ML systems into backend mobile and desktop products
- Optimize GPU performance
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | DPO | Deep learning | DeepSpeed | Distillation | Distributed Training | FSDP | GPU Optimization | Inference Optimization | JAX | LoRA | Megatron | Memory efficiency | Mixed Precision | Model Evaluation | PyTorch | QLoRA | Quantization | Ray | Robustness Testing | SFT | Safety evaluation | Synthetic data | Transformers | Zero
Education
N/A
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