Description:

As a Security Research Engineer at Maze, you will define real security risks in AI-powered vulnerability detection.
You will analyze cloud vulnerability findings from AI systems, conducting deep research to validate and contextualize threats.
Your role involves creating authoritative labels that train AI models to distinguish critical risks from noise.
You will lead high-volume vulnerability labeling and validation work, reviewing and categorizing cloud security findings.
You will translate patterns and insights from your research into actionable product improvements.
Collaboration with fellow Security Research Engineers is essential to maintain consistency in labeling standards and improve methodologies.
You will conduct comprehensive research into cloud vulnerabilities affecting EC2 images, Docker containers, and cloud infrastructure.
Your responsibilities include creating detailed technical writeups about exploitation techniques and remediation strategies.
You will integrate insights from CVE databases and threat intelligence sources to enrich vulnerability findings.
You will support the company's external presence through technical blog posts, videos, and conference presentations.

Requirements:

You must have 5+ years of hands-on security experience with a proven vulnerability research background.
Deep knowledge of AWS security, cloud infrastructure vulnerabilities, and container security is required.
Strong coding and scripting abilities in Python, Go, or similar languages are necessary for automating research tasks.
You should have a proven ability to analyze complex security data and communicate findings to technical and business audiences.
Experience translating security insights into product requirements is essential.
You must have experience working with vulnerability databases and threat intelligence sources.
Strong communication skills and the ability to work effectively with peers and stakeholders are required.
Comfort with systematic labeling work while maintaining accuracy and attention to detail is necessary.
Nice to haves include experience with AI/ML security, background at security tooling companies, and industry certifications.

You will work on ambitious challenges using generative AI to solve pressing cloud security issues.
Join a team of hands-on leaders with experience in Big Tech and Scale-ups.
Be part of a growing security research function, collaborating with experts to shape AI's understanding of security threats.
Your work will directly improve how organizations respond to cloud security threats, scaling expert knowledge through AI.
Your research insights will influence product strategy and development, giving you a voice in building AI-powered security tools.
Help establish the gold standard for AI-assisted vulnerability research, enhancing machine learning models with human expertise.

Skills