Amazon · 3 hours ago
Senior Security Engineer, AGI Security Engineering
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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
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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
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (14000)
2022 (23375)
2021 (15334)
2020 (14558)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO· nasdaq:AMZN
Recent News
2024-11-14
Crunchbase News
2024-11-13
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