[Remote] Machine Learning Security Researcher at Trail of Bits

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

PhD-level expertise in machine learning, deep learning, or related fields (completed, near completion, or equivalent research experience)
Demonstrated experience in conducting original security research on machine learning systems
Expertise in identifying novel attack vectors, including adversarial examples, model poisoning, data extraction attacks, and jailbreaks for large language models
Experience working with top-tier AI organizations (frontier labs, leading AI companies)
Ability to design and build security testing frameworks, evaluation methodologies, and open-source tools for AI/ML security research
Ability to develop comprehensive threat models for emerging AI/ML deployment patterns
Ability to publish findings, present at security and AI/ML conferences, and contribute to the broader AI/ML security research discourse
Ability to bridge AI/ML research and security engineering

Responsibilities

Conduct original security research on cutting-edge machine learning systems
Work directly with top-tier AI organizations to assess the security posture of their ML systems
Design and build novel security testing frameworks, evaluation methodologies, and open-source tools for AI/ML security research
Develop comprehensive threat models for emerging AI/ML deployment patterns
Publish findings, present at security and AI/ML conferences, and contribute to the broader AI/ML security research discourse
Bridge AI/ML research and security engineering

Skills

Trail of Bits

Cybersecurity consulting and security research services

About Trail of Bits

Trail of Bits provides cybersecurity services focused on high-end security research and consulting for organizations facing complex security challenges. They specialize in areas such as reverse engineering, cryptography, virtualization, malware, and software exploits. Their services include security audits, secure deployment consulting, and developing solutions to address security vulnerabilities. The company caters to a diverse clientele, including major tech companies and government agencies, and generates revenue through consulting fees and training courses aimed at enhancing the skills of security teams. Trail of Bits distinguishes itself from competitors with its tailored consulting services and a strong emphasis on workplace culture, recognized as one of the best places to work. The goal of Trail of Bits is to help organizations effectively protect their systems and data from security threats.

New York City, New YorkHeadquarters

2012Year Founded

$5.2MTotal Funding

SEEDCompany Stage

Consulting, CybersecurityIndustries

51-200Employees

Risks

AI model unreliability in critical areas poses a risk for cybersecurity applications.

Emergence of pickle file attacks highlights vulnerabilities in machine learning models.

Focus on mobile security may divert resources from other critical cybersecurity areas.

Differentiation

Trail of Bits specializes in high-end security research and consulting services.

The company serves tech giants and government agencies with robust security measures.

Trail of Bits combines human intellect with computational power for meaningful security gains.

Upsides

Recognition as a leader in cybersecurity consulting boosts Trail of Bits' market credibility.

Partnerships with companies like Discord and Hugging Face expand their client base.

Involvement in iVerify's funding round shows strategic interest in mobile security.

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