Cyber Threat Defense Sr AI/ML Engineer
Tasks
- Build LLM tooling for investigation support and detection engineering
- Conduct AI enhanced red teaming and adversarial emulation
- Design build and deploy AI capabilities for threat hunting
- Develop agentic AI systems for cybersecurity automation
- Develop and operationalize custom machine learning models and LLM workflows
- Engineer data preparation feature engineering and model lifecycle
- Evaluate emerging AI technologies for threat detection and response
- Implement responsible AI including bias mitigation and explainability
- Prototype AI enhancements for security controls and architecture
- Support scalable governed AI integration
Perks/Benefits
- Discretionary incentive plan eligibility
- Employee support resources
- Health and wellness benefits
- Paid time off
Skills/Tech-stack
AI Foundry | AI Governance | Agentic AI | Amazon Bedrock | Anomaly Detection | Automated incident response | Azure AI | Azure AI Foundry | Bias Mitigation | Class imbalance | Cybersecurity | Data Pipelines | EDR | Embeddings | Experiment tracking | Explainability | Feature Engineering | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | LLM orchestration | Label Noise | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Evaluation | Model Risk Management | Model Training | Model calibration | Model risk | Precision Recall F1 | Precision-recall | PyTorch | Python | Retrieval-Augmented Generation | Risk Management | SIEM | SOAR | Scikit-learn | Security telemetry | Threat hunting | Threat modeling | Tool use | Vertex AI
Education
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