Staff Machine Learning Engineer
Tasks
- Build end-to-end machine learning pipelines
- Deploy scalable inference systems
- Design evaluation pipelines for robustness safety and bias
- Integrate ML systems with backend and client applications
- Maintain synthetic and real world training data systems
- Monitor and debug production model and system performance
- Optimize GPU training and inference for latency and cost
- Train and fine-tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | Cost Optimization | DPO | Data Pipelines | Deployment | Fine Tuning | GPU | Inference architecture | JAX | Knowledge Distillation | Latency optimization | LoRA | Memory Optimization | Model Evaluation | Model Fine-tuning | PyTorch | Python | QLoRA | Robustness Evaluation | SFT | Safety evaluation | Training workflows
Education
N/A
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