Frontier ML Security Research Fellow (Remote)

Trail of Bits; United States; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Fully company-paid insurance packages

401(k) plan with 5% match

20 days of paid vacation

4 months of parental leave

$10,000 relocation assistance to NYC

$1,000 working-from-home stipend

$750 annual learning & development stipend

Philanthropic contribution matching up to $2,000 annually

Job summary

A leading cybersecurity firm is seeking a Machine Learning Security Research Fellow to engage in groundbreaking AI/ML security research. This one-year fellowship offers a unique blend of academic rigor and real-world impact, targeting PhD candidates or recent graduates keen on industry research. Key responsibilities include conducting original research, evaluating cutting-edge AI systems, and contributing to meaningful security initiatives. The successful candidate should have a strong background in AI/ML, excellent programming skills, and the ability to work independently. Competitive salary and benefits package offered.

Qualifications

• Currently pursuing or recently completed a PhD in relevant field.
• Track record of high-quality research through publications.
• Strong hands-on experience with modern AI/ML frameworks.
• Demonstrated ability to think adversarially about systems.
• Proficient in Python and comfortable with systems programming.
• Self-directed researcher capable of defining research questions.
• Can explain complex technical concepts to diverse audiences.

Responsibilities

• Pursue independent AI/ML security research interests.
• Gain hands-on experience evaluating AI/ML systems.
• Design and implement new attack methodologies.
• Build and release AI/ML security tools.
• Produce publishable research and technical blog posts.

Skills

PhD-Level AI/ML Expertise

Research Excellence

AI/ML Systems Proficiency

Security Mindset

Strong Programming Skills

Intellectual Independence

Communication Ability

Education

PhD in machine learning, computer science, statistics, or related field

Tools

PyTorch

JAX

TensorFlow

Job description

A leading cybersecurity firm is seeking a Machine Learning Security Research Fellow to engage in groundbreaking AI/ML security research. This one-year fellowship offers a unique blend of academic rigor and real-world impact, targeting PhD candidates or recent graduates keen on industry research. Key responsibilities include conducting original research, evaluating cutting-edge AI systems, and contributing to meaningful security initiatives. The successful candidate should have a strong background in AI/ML, excellent programming skills, and the ability to work independently. Competitive salary and benefits package offered.