[Remote] Machine Learning Security Research Fellow at Trail of Bits

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Artificial IntelligenceIndustries

Requirements

PhD-Level AI/ML Expertise: Currently pursuing or recently completed (within 2 years) a PhD in machine learning, computer science, statistics, or related field, with strong research credentials
Research Excellence: Track record of high-quality research through publications, preprints, workshop papers, or significant open-source contributions that demonstrate deep AI/ML expertise
AI/ML Systems Proficiency: Strong hands-on experience with modern AI/ML frameworks (PyTorch, TensorFlow, etc.)

Responsibilities

Independent Research Agenda: Pursue your own AI/ML security research interests with support from Trail of Bits' research team, with opportunities to publish findings and present at leading conferences
Frontier System Assessment: Gain hands-on experience evaluating the security of state-of-the-art AI/ML systems deployed by top AI organizations, working on problems that represent the cutting edge of AI/ML security
Novel Attack & Defense Development: Design and implement new attack methodologies, defensive techniques, and evaluation frameworks for adversarial AI/ML scenarios including model poisoning, adversarial examples, jailbreaks, and data extraction
Open-Source Impact: Build and release AI/ML security tools and frameworks that benefit the broader research community, with support for open-source contribution as a core fellowship objective
Mentorship & Collaboration: Work alongside Trail of Bits' security research team, gaining exposure to security engineering practices while maintaining focus on research excellence
Research Output: Produce publishable research, technical blog posts, and open-source tools that advance the state of AI/ML security understanding—with explicit support for academic publication

Skills

Machine Learning Security

AI/ML Research

Security Research

AI Assurance

Cybersecurity

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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