6sense is looking to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. The Senior Security Engineer will drive platform security initiatives with a primary focus on securing AI/ML systems and models to ensure robust security for AI-powered features and infrastructure.
Requirements
- 5+ years in information security, with significant experience in application security and AI/ML security.
- Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC.
- Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
- Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins).
- Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
- Experience working directly with software developers and data scientists to improve code/model security.
- Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
Responsibilities
- Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
- Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
- Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems.
- Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
- Build and maintain automation pipelines for AI/ML security testing and monitoring.
- Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles.
- Support detection, triage, and remediation of AI/ML-specific security incidents.
Other
- Excellent communication skills.
- Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.
- Establishes credibility among Engineering and Data Science counterparts.
- Advocates for AI/ML security best practices.
- Drives tasks to completion and maintains accuracy of information.
