Staff Machine Learning Engineer
Tasks
- Build data pipelines
- Deploy production ML systems
- Design inference architecture
- Ensure model robustness safety and bias evaluation
- Implement model evaluation pipelines
- Improve memory efficiency
- Integrate ML systems into application backends
- Maintain data systems for training data
- Monitor, debug, and resolve production issues
- Optimize GPU performance
- Own end to end ML system execution
- Reduce inference latency
- Run training workflows
- Scale inference systems
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | DPO | Data Pipelines | Deployment | GPU Optimization | Inference Optimization | JAX | Knowledge Distillation | Latency optimization | LoRA | Machine Learning | Memory Optimization | Model Evaluation | Model Training | PyTorch | Python | QLoRA | Robustness Evaluation | SFT | Safety evaluation | Scalability | Synthetic data
Education
N/A
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