Staff Machine Learning Engineer
Tasks
- Build data pipelines
- Collaborate with Application Engineering
- Deploy production ML systems
- Design inference architecture
- Develop evaluation pipelines
- Improve memory efficiency
- Integrate ML systems into product backends
- Maintain synthetic and real world training data systems
- Monitor and debug production issues
- Optimize GPU performance
- Own ML system execution
- Reduce inference latency
- Run training workflows
- Scale inference policies
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Data Pipelines | Evaluation | Fine Tuning | GPU Optimization | Inference architecture | JAX | Knowledge Distillation | Latency optimization | LoRA | Machine Learning | Memory Optimization | Model Deployment | Model Fine-tuning | Production Monitoring | PyTorch | Python | QLoRA | SFT | Synthetic data | Training Workflow
Education
N/A
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