Staff Machine Learning Engineer
Tasks
- Architect scalable inference systems
- Build data pipelines
- Deploy production machine learning models
- Design synthetic and real world training data systems
- Design training workflows
- Develop evaluation systems
- Fine-tune and adapt models
- Implement inference architecture
- Implement performance robustness safety and bias evaluation
- Integrate machine learning into backend mobile and desktop products
- Monitor, debug, and resolve production issues
- Optimize GPU memory efficiency and latency
- Own end to end machine learning system execution
- Scale inference using policies
Perks/Benefits
- N/A
Skills/Tech-stack
Bias detection | DPO | Data Pipelines | Evaluation Pipelines | Fine Tuning | GPU Optimization | Inference architecture | JAX | Knowledge Distillation | Latency optimization | LoRA | Memory Optimization | Model Deployment | Model Fine-tuning | Performance Tuning | PyTorch | Python | QLoRA | Robustness Testing | SFT | Safety evaluation | Scalable inference | Training workflows
Education
N/A
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