Sr. AI Security Engineer – AppSec
Tasks
- Author safety regression tests and break glass controls
- Build automation pipelines for AI ML security testing and monitoring
- Communicate AI ML security topics to technical and non technical stakeholders
- Design security controls for AI ML models pipelines and data flows
- Facilitate secure development training for AI ML risks and best practices
- Maintain documentation runbooks and dashboards for AI ML security
- Perform vulnerability management for AI ML and applications using SAST DAST and dependency scanning
- Support detection triage and remediation of AI ML security incidents
- Track and report vulnerability metrics including model robustness and data integrity
Perks/Benefits
- Disability insurance
- Donation matching
- Employee assistance program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning access
- Paid Time Off Sick Leave
- Paid Time Off Volunteering
- Paid time off (bereavement
- Paid time off voting
- Retirement plan
- Unlimited vacation
Skills/Tech-stack
Adversarial Attacks | Adversarial Robustness | Adversarial Robustness Toolbox | DAST | Data poisoning | Dependency Scanning | Jailbreaking | Model inversion | Prompt injection | Python | RAG | Red Teaming | Regulated Environment | SAST | Threat modeling | Vector Database
Education
N/A
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