Staff Machine Learning Engineer
Tasks
- Architect scalable inference systems
- Build data pipelines
- Deploy inference architecture
- Design synthetic data systems
- Design training workflows
- Fine-tune and adapt models
- Implement deployment scaling policies
- Implement evaluation for performance robustness safety and bias
- Implement evaluation systems
- Integrate ML systems into backend and products
- Optimize GPU training and inference
- Own end to end ML system execution
- Reduce latency and improve reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | Data Pipelines | Direct Preference Optimization | Fine Tuning | GPU Optimization | Inference | JAX | Knowledge Distillation | Latency optimization | LoRA | Machine Learning | Memory efficiency | Model Evaluation | Model Training | Preference optimization | PyTorch | Python | QLoRA | Safety evaluation | Scalable systems | Supervised Fine Tuning | Synthetic data
Education
N/A
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