Senior Applied Scientist Cyber Defense
Tasks
- Build AI security agents
- Define evaluation environments and benchmarks
- Deploy and monitor AI systems
- Design retrieval-augmented generation pipelines
- Develop context aware agents
- Evaluate end to end agent behavior
- Implement continuous evaluation and observability
- Integrate multi model approaches
- Lead Agentic AI initiatives
- Perform model optimization for security outcomes
- Reason over security telemetry
- Support detection investigation and response
- Translate results into technical recommendations
- Use MLOps and LLMOps practices
- Use security tools for investigations
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Agent systems | Agentic Architectures | Automated Evaluation | Benchmarks | C# | Context Pipeline | Controlled Deployment | Cybersecurity | Error Analysis | Incident Response | Inference | LLM-as-a-Judge | LLMOps | Language Models | Large Language Models | MLOps | Model Evaluation | Model versioning | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Python | Retrieval | Retrieval-Augmented Generation | Safe Rollback | Security telemetry | Threat Research | Trajectory analysis | TypeScript
Education
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