Senior Machine Learning Engineer, GenAI Security
Tasks
- Build model evaluation suites for adversarial inputs
- Build security focused ML models
- Collaborate with cross-functional teams on ML workflows
- Deploy models to production and retrain from feedback
- Implement MLOps training pipelines and monitoring
- Optimize precision recall latency cost calibration
- Own end-to-end model development
- Provide technical direction and ML expertise
Perks/Benefits
- 401k employer match
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefits
- Healthcare benefits
- Income replacement programs
- Mental health coaching
- Paid parental leave
- Paid volunteer time off
Skills/Tech-stack
Active Learning | Airflow | Data ETL | Data Generation | Data Pipelines | Deep learning | Distillation | Embeddings | False Positive | False positive analysis | Feature Engineering | Go | Hard Negative Mining | Kubernetes | Labeling | MLOps | MLflow | Machine Learning | Model Debugging | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Model calibration | Model retraining | NVIDIA Triton | Negative mining | Neural Networks | ONNX | Precision Recall F1 | Precision-recall | PyTorch | Python | Ray | Sequence Models | Synthetic Data Generation | Synthetic data | TensorFlow | Threshold Tuning | Transformers
Education
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