Machine Learning Security Research Fellow
About the Role
You will spend a one-year fellowship conducting original security research on cutting-edge AI and machine learning systems. You will design and implement new attack methodologies and defensive techniques, evaluate state-of-the-art models, build open-source tools, publish and present findings, and collaborate with researchers while contributing to client-facing assessments when needed.
Requirements
- Currently pursuing or recently completed a PhD in machine learning, computer science, statistics, or related field
- Track record of research excellence through publications, preprints, or significant open-source contributions
- Hands-on experience with AI/ML frameworks such as PyTorch, JAX, or TensorFlow
- Experience with foundation models and the full ML research workflow including experimentation, training, and evaluation
- Ability to think adversarially about systems and identify failure modes
- Proficiency in Python and comfort with systems programming
- Intellectual independence with capability to define research questions and execute experiments
- Strong written and verbal communication skills for diverse audiences
Responsibilities
- Pursue an independent AI/ML security research agenda and publish results
- Evaluate the security of state-of-the-art AI and machine learning systems
- Design and implement novel attack methodologies and defensive techniques
- Develop open-source AI/ML security tools and research frameworks
- Collaborate with researchers and participate in high-stakes assessments
- Present research at conferences and prepare technical publications
- Define research questions, design experiments, and drive projects to completion
Benefits
- Fully company-paid insurance packages including health, dental, vision, disability, and life
- 401(k) plan with a 5% match of base salary
- 20 days of paid vacation (subject to jurisdictional regulations)
- 4 months of parental leave
- $10,000 relocation assistance for moves to New York City
- $1,000 working-from-home stipend
- $750 annual learning and development stipend
- Company-sponsored all-team celebrations with travel and accommodation
- Philanthropic contribution matching up to $2,000 annually
- Conference travel funding for presentations
- Performance-based bonuses