Principal Machine Learning Engineer
Tasks
- Architect scalable model inference systems
- Build end-to-end machine learning pipelines
- Collaborate with research leadership on evaluation
- Deploy production machine learning systems
- Design and maintain training data systems
- Fine tune and adapt transformer models
- Implement model evaluation pipelines
- Integrate ML systems with backend and client applications
- Optimize GPU performance for inference
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 | Machine Learning | Megatron | Memory efficiency | Mixed Precision | Multimodal Learning | ORPO | PPO | PyTorch | QLoRA | Quantization | RLHF | Ray | SFT | TensorRT-LLM | Transformers | VLLM | Zero
Education
N/A
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