Security Engineer, AI Protection

Responsibilities

The Security Engineer will test Cloud AI systems for vulnerabilities like jailbreaks and prompt injections while building anti-abuse detection systems. They will also investigate abuse incidents and provide security guidance to engineering teams to ensure the robustness of AI products.

Requirements

Candidates must have a bachelor's degree and at least 2 years of experience in security engineering, threat modeling, and coding. Proficiency in AI safety, LLMs, and identifying security flaws is highly preferred.

Skills

• Security assessments
• Threat modeling
• Security engineering
• Network security
• Security protocols
• Coding
• AI Red Teaming
• Generative AI
• Large Language Models
• AI agents
• Vulnerability assessment
• Jailbreak testing
• Data exfiltration
• Prompt injection
• Anti-abuse detection
• Incident remediation

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 2 years of experience with security assessments or security design reviews or
threat modeling.

* 2 years of experience with security engineering, computer and network
security and security protocols.

* 2 years of coding experience in one or more general purpose languages.

PREFERRED QUALIFICATIONS:

* Experience conducting AI Red Teaming or participating in AI bug bounties.
* Experience in analyzing systems and identifying security and abuse problems,
threat modeling, and remediation.
* Understanding of generative AI technologies, Large Language Models (LLMs) and
AI agents.

ABOUT THE JOB:

Our Security team works to create and maintain the safest operating environment
for Google's users and developers. Security Engineers work with network
equipment and actively monitor our systems for attacks and intrusions. In this
role, you will also work with software engineers to proactively identify and fix
security flaws and vulnerabilities.

As the Trust and Safety security engineer, you are a thought leader and subject
matter expert in AI safety and security. You are responsible for identifying
emerging patterns and trends across a full-spectrum of threats and translating
the findings into actionable insights and protections. With your knowledge and
passion for learning new things, you will help the teams to solve the classes of
challenging problems in AI security and misuse at Google scale. You will be
essential in building robust protection and intelligence for Gen AI API Abuse
and Security, ensuring the reliability, robustness, and security of Cloud and
Workspace AI systems including agents.

Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Test Cloud AI systems for vulnerabilities, including jailbreaks, data
exfiltration, prompt injections, and adversarial manipulation.
* Uncover novel vulnerabilities across new and complex AI features.
* Build and calibrate anti-abuse detection systems and AI agents to protect
Cloud and Workspace products at scale.
* Investigate and remediate abuse incidents while using findings to refine
detection agent performance.
* Review and develop secure operational practices, and provide security
guidance for engineers and analysts.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA