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Company

Amazon · 1 month ago

Senior Security Engineer, AGI Security Engineering

Florida, United States

Full-time

Remote

Senior Level

$143K/yr - $248K/yr

5+ years exp

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Responsibilities

Perform expert cybersecurity red-teaming on complex proprietary foundation models testing, threat model and pentest the services built by AGI.

Manually generate the novel prompts, jailbreaks to bypass the existing model guardrails authored in house by AGI and AWS Bedrock.

Write proof of concept code to demonstrate the severity of a potential security issue.

Provide clear communication on risks to ML builders/scientists that suggest and mitigate the risk.

Partner with ML builders/scientists to drive improvement in FM models security as a result of security review engagements.

Provide actionable long-term risk mitigation guidance to internal and external stakeholder.

Conduct independent vulnerability research pertaining to GenAI technologies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI securityPenetration testingVulnerability testingPythonAdversarial machine learningMachine learning techniquesSecurity frameworksData privacy regulationsAWS AI technologiesJavaRubyJavaScriptRustCRC++CCSPCEHCFRCySA+GCEDGICSPPenTest+Prompt injectionData poisoningModel extractionMembership inference

Required

Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or Ph.D. preferred

Minimum 2 years of experience in AI security, adversarial machine learning, or related fields

Minimum of 5 years of experience in security testing (Penetration testing, Vulnerability testing, Red teaming, bug hunting, CTF experience, or related field)

Minimum of 5 years of experience with manually auditing source code (One or more of: Java, Ruby, Python, JavaScript, Rust, C, others) to find security issues

Minimum of 5 years of experience scripting in Python or other equivalent interpreted languages

Solid understanding of machine learning techniques, deep learning architectures, and generative models (e.g., GANs, VAEs)

Familiarity with security frameworks, tools, and techniques for protecting AI systems

Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their implications on AI systems is a plus

Experience with AWS AI technologies and services (e.g. SageMaker, Code Whisperer, Bedrock, etc)

Preferred

CCSP (Certified Cloud Security Professional) or CEH (Certified Ethical Hacker) or CFR (CyberSec First Responder) or Cloud+ or CySA+ (CompTIA Cybersecurity Analyst) or GCED (GIAC Certified Enterprise Defender) or GICSP (Global Industrial Cyber Security Professional) or PenTest+

Experience with the architecture of GenAI models, platforms, and applications

Knowledge of common AI/ML attack techniques such as prompt injection and ability to automate testing for these vulnerabilities

Ability to identify vulnerabilities and threats specific to GenAI and other AI/ML systems

Background in adversarial machine learning and emerging attacks like data poisoning, model extraction, membership inference, etc

Experience with languages commonly used in AI/ML like Python, R, Java, C++

Meets/exceeds Amazon’s leadership principles for this role

Meets/exceeds Amazon’s functional/technical depth and complexity expectations for this role

Excellent communication skills to collaborate with cross-functional teams and present complex security concepts to non-technical stakeholder

Benefits

Flexibility in working hours

Full range of medical, financial, and/or other benefits

Company

Amazon

Glassdoor

3.7

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10001+ employees

https://amazon.com

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2020 (14558)