Principal Machine Learning Engineer
Tasks
- Architect large scale machine learning systems
- Build training pipelines
- Deploy production machine learning systems
- Design data systems for synthetic and real world training data
- Implement evaluation pipelines performance robustness safety bias
- Integrate machine learning systems with backend mobile desktop
- Monitor debug and resolve production model issues with root cause analysis
- Optimize GPU memory efficiency latency
- Optimize inference latency throughput cost reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Arrow | Apache Spark | Bias Mitigation | DPO | Data-parallel | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | Distributed inference | FasterTransformer | Fully Sharded Data Parallel | GPU Optimization | JAX | Latency optimization | Machine Learning | Megatron | Memory efficiency | Mixed Precision | Model Evaluation | Multimodal modeling | ORPO | PPO | PyTorch | Quantization | RLHF | Ray | Safety evaluation | TensorRT-LLM | Throughput Optimization | Transformers | VLLM | Zero
Education
N/A
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