Principal Machine Learning Engineer
Tasks
- Architect scalable inference systems
- Build end-to-end ML pipelines
- Deploy ML models to production
- Design data systems for training data
- Fine-tune and adapt models
- Implement evaluation pipelines for performance robustness safety and bias
- Integrate ML systems with backend mobile and desktop products
- Iterate on production improvements from real usage
- Optimize GPU memory efficiency and latency
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Arrow | Apache Spark | DPO | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | FSDP | FasterTransformer | GPU Optimization | JAX | Knowledge Distillation | LoRA | Megatron | Mixed Precision | Multimodal Models | ORPO | PPO | PyTorch | Q LoRA | Quantization | RLHF | Ray | SFT | TensorRT-LLM | Transformers | VLLM | Zero
Education
N/A
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