Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience building software for data privacy or security (e.g., identity and access management).
Nice to haves:
Experience in AI/ML security research.
Experience in programming language suitable for security research and prototyping (e.g., Python).
What you'll be doing:
Conduct research to identify, analyze, and understand novel security threats, vulnerabilities, and attack vectors targeting AI agents and underlying LLMs (e.g., advanced prompt injection, data exfiltration, adversarial manipulation, attacks on reasoning/planning).
Design, prototype, evaluate, and refine innovative defense mechanisms and mitigation strategies against identified threats, spanning model-based defenses, runtime controls, and detection techniques.
Develop proof-of-concept exploits and testing methodologies to validate vulnerabilities and assess the effectiveness of proposed defenses.
Collaborate with engineering and research teams to translate research findings into practical, scalable security solutions deployable across Google's agent ecosystem.
Stay current with the AI security, adversarial machine learning, and related security fields through literature review, conference attendance, and community engagement.
Perks and benefits:
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