ML Security Researcher - Adversarial AI & Threat Research

Shell Lubricants Hub Hamburg

Austin (TX)

On-site

USD 175,000 - 300,000

Full time

14 days+

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Job summary

Trail of Bits is looking for a Machine Learning Security Researcher in Austin, TX. This role involves conducting advanced research on security vulnerabilities in machine learning systems and working with leading AI labs to enhance their security measures.

The ideal candidate will have a PhD in machine learning, strong programming skills, and a solid understanding of adversarial machine learning. The position offers a competitive salary range from $175,000 to $300,000 and opportunities for professional growth within the AI/ML field.

Qualifications

  • PhD-level expertise in machine learning, deep learning, or related fields.
  • Strong understanding of adversarial machine learning, including familiarity with various attack paradigms.
  • Extensive hands-on experience with modern ML frameworks and the ML development lifecycle.

Responsibilities

  • Conduct cutting-edge security research on machine learning systems.
  • Work directly with top-tier AI organizations to assess security postures.
  • Design and build security testing frameworks and evaluation methodologies.

Skills

Deep Technical ML Expertise
AI/ML Security Knowledge
Programming Proficiency
Research Excellence
Intellectual Curiosity
Communication Skills

Education

PhD in machine learning or equivalent research experience

Tools

PyTorch
TensorFlow
JAX
CUDA programming

Job description

Trail of Bits is looking for a Machine Learning Security Researcher in Austin, TX. This role involves conducting advanced research on security vulnerabilities in machine learning systems and working with leading AI labs to enhance their security measures.

The ideal candidate will have a PhD in machine learning, strong programming skills, and a solid understanding of adversarial machine learning. The position offers a competitive salary range from $175,000 to $300,000 and opportunities for professional growth within the AI/ML field.

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