Machine Learning Security Research Fellow

Trail of Bits

full-time

Posted on: 10/16/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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💰 $100,000 - $120,000 per year

Mid-LevelSenior

PythonPyTorchTensorflow

About the role

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.

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

Competitive salary complemented by performance-based bonuses.
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.
Our team is global and remote-first. However, if you are interested in moving to NYC, we offer $10,000 in relocation assistance to support your transition.
$1,000 Working-from-Home stipend to create a comfortable and productive home office.
Annual $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.

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningadversarial AImodel poisoningadversarial examplesdata extractionPythonAI/ML frameworksexperimentationtrainingevaluation

self-directed researchclear communicationsynthesizing research findingsproblem-solvingcritical thinking