About the Role
This role involves leading security initiatives for AI-powered features, ensuring robust protection of models, data, and infrastructure through proactive assessments and cross-functional collaboration.
Responsibilities
- Lead security architecture reviews for machine learning systems
- Develop and enforce security standards for AI/ML pipelines
- Conduct threat modeling for AI-driven features
- Identify and mitigate risks in model training and inference processes
- Collaborate with data scientists and engineers on secure implementations
- Evaluate third-party AI tools for security compliance
- Monitor for adversarial attacks and model exploitation
- Implement safeguards for sensitive data used in AI systems
- Drive secure deployment practices for AI models
- Respond to security incidents involving AI components
- Stay current with emerging AI security threats
- Advocate for privacy-preserving techniques in model design
- Perform code and configuration reviews for AI infrastructure
- Integrate security testing into CI/CD for ML workflows
- Assist in audits and compliance for AI systems
- Educate teams on AI-specific security risks
- Design detection mechanisms for model drift and anomalies
- Support secure access controls for model endpoints
- Evaluate model explainability and bias implications from a security standpoint
- Contribute to incident response playbooks for AI-related breaches
- Work with legal and policy teams on AI governance
- Promote secure prompt engineering practices
- Assess supply chain risks in pre-trained models
- Ensure secure handling of user-generated content in AI training
- Support red team exercises targeting AI systems
Nice to Have
- Master's degree in a technical field
- Certifications such as CISSP, OSCP, or CISM
- Hands-on experience with large language models
- Prior work in AI red teaming or purple teaming
- Contributions to open-source AI security tools
- Experience in fast-growing technology companies
- Knowledge of differential privacy techniques
- Familiarity with model watermarking and ownership detection
- Background in academic or industrial AI research
- Published work or speaking engagements in AI security
Benefits
- Flexible work hours
- Remote work support
- Health insurance coverage
- Wellness programs
- Professional development budget
- Learning and training resources
- Generous leave policies
- Employee assistance program
- Inclusive workplace culture
- Sustainability initiatives
- Team events and gatherings
- Parental leave support
- Mental health resources
- Retirement savings plan
- Stock options or equity participation
Compensation
Competitive salary with comprehensive benefits
Work Arrangement
Remote across Australia
Team
Security team within a technology-driven product organization
Our Culture
- We value transparency, inclusivity, and innovation in everything we do.
- Team members are encouraged to take initiative and solve complex challenges.
- We foster a collaborative environment where diverse perspectives are welcomed.
- Continuous improvement and learning are central to our approach.
- We prioritize ethical considerations in product development.
Growth Opportunities
- Engineers have access to mentorship and career development programs.
- Opportunities to lead security projects across multiple domains.
- Support for attending conferences and industry events.
- Internal mobility across teams and functions.
- Regular feedback and performance reviews to guide progression.
Not available
