
Chief AI Security Strategist
2 weeks ago
The ideal candidate will lead our team of AI/ML engineers in ensuring the security and effectiveness of our machine learning systems.
This includes developing and executing red teaming exercises to simulate real-world threats, collaborating with cross-functional teams, and ensuring compliance with internal policies for responsible AI use.
- Develop and implement red teaming exercises to test the resilience of our AI systems
- Collaborate with cross-functional teams to embed security insights into model development and deployment lifecycles
- Ensure compliance with internal policies for responsible AI use
- Stay up-to-date on the latest research in adversarial ML, model exploitation techniques, and AI safety
- Lead incident response efforts and develop mitigation strategies
- Advanced degree in Computer Science, Machine Learning, Cybersecurity, or related field
- 8+ years of experience in Machine Learning, including 4+ years in cybersecurity, red teaming, or adversarial testing
- 3+ years of experience with generative AI systems (e.g., LLMs, agents)
- Experience working in regulated industries with AI governance requirements
- Knowledge of secure model deployment practices in cloud and edge environments
- Familiarity with AI safety, fairness, and interpretability frameworks
- Demonstrated contributions to open-source tools, academic research, or AI security communities
- Solid communication skills with ability to influence executive stakeholders
- Strong background in machine learning and cybersecurity
- Ability to lead cross-functional teams and communicate effectively with executives
- Passion for staying up-to-date on the latest research in AI safety and security
T-d-newton is an equal opportunities employer.
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