Trail of Bits · 3 months ago
Machine Learning Security Research Fellow
United States
Full-time
Remote
New Grad, Entry Level
$100K/yr - $120K/yrTrail of Bits is a leading security firm focused on advancing security through innovative research and practical solutions. The Machine Learning Security Research Fellowship offers researchers the opportunity to conduct original security research on cutting-edge AI/ML systems while collaborating with the AI Assurance team on high-stakes client engagements.
Cyber SecurityNational SecuritySecuritySoftware
Responsibilities
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
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
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
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
Work alongside Trail of Bits' security research team, gaining exposure to security engineering practices while maintaining focus on research excellence
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
Qualification
Required
Currently pursuing or recently completed (within 2 years) a PhD in machine learning, computer science, statistics, or related field, with strong research credentials
Track record of high-quality research through publications, preprints, workshop papers, or significant open-source contributions that demonstrate deep AI/ML expertise
Strong hands-on experience with modern AI/ML frameworks (PyTorch, JAX, TensorFlow), foundation models, and the full AI/ML research workflow including experimentation, training, and evaluation
Demonstrated ability to think adversarially about systems, identify edge cases, or explore failure modes—even without formal security training. Interest in adversarial AI/ML, robustness, or AI safety highly valued
Proficient in Python and comfortable with systems programming. Experience implementing research prototypes and experimental frameworks
Self-directed researcher capable of defining research questions, designing experiments, and driving projects to completion with minimal supervision
Can explain complex technical concepts clearly to diverse audiences and synthesize research findings into actionable insights
Benefits
Fully company-paid insurance packages, including health, dental, vision, disability, and life
A solid 401(k) plan with a 5% match of your base salary
20 days of paid vacation with flexibility for more, adhering to jurisdictional regulations
4 months of parental leave to cherish the arrival of new family members
$10,000 in relocation assistance to support your transition
$1,000 Working-from-Home stipend to create a comfortable and productive home office
$750 Learning & Development stipend for continuous personal and professional growth
Company-sponsored all-team celebrations, including travel and accommodation, to foster community and recognize achievements
Philanthropic contribution matching up to $2,000 annually
Company
Trail of Bits
Since 2012, Trail of Bits has helped secure some of the world’s most targeted organizations and products.
Founded in 2012
51-200 employees
H1B Sponsorship
Trail of Bits 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
2025 (1)
2023 (2)
Funding
Current Stage
Growth StageLeadership Team
Dan Guido
Co-Founder & CEO
A
Alexander Sotirov
Co-Founder & CTO
Recent News
Help Net Security
2025-12-11
2025-11-04
Cointelegraph
2025-11-04
Company data provided by crunchbase