Sr. AI Security Engineer – AppSec
Tasks
- Author safety regression tests and break glass controls
- Build and maintain AI ML security automation pipelines
- Communicate AI ML security topics to technical and non technical stakeholders
- Detect triage and remediate AI ML security incidents
- Facilitate secure development training for AI ML risks
- Lead AI ML security controls design and implementation
- Maintain AI ML security documentation runbooks and dashboards
- Manage application and AI ML vulnerabilities using SAST DAST dependency scanning
- Monitor AI ML security testing results
- Perform AI ML model pipeline and data flow security testing
- Track and report vulnerability status and AI ML security metrics
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program therapy
- Employee recognition program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning
- Paid Time Off Volunteering
- Paid time off
- Retirement plan
- Unlimited vacation
Skills/Tech-stack
AI ML SDLC | AI/ML | AI/ML Security | Adversarial Attacks | Adversarial ML | Adversarial Robustness | Adversarial Robustness Toolbox | DAST | Data poisoning | Dependency Scanning | Incident Response | Jailbreaking | ML SDLC | ML Security | Model inversion | Prompt injection | Python | Red Teaming | SAST | Threat modeling | Vulnerability Management
Education
N/A
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