AI Security Researcher
Hace 1 día
México
Nearshore Cyber
Jornada completa
EUR 1 - EUR 3 Por obra
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
AI Security Researcher
Location:
Remote (Mexico) | Employment Type: Full-Time About the Opportunity A fast-growing cybersecurity company, backed by leading venture capital investors, is seeking a founding AI Security Researcher to build and lead its AI Security Research program from the ground up. The company helps enterprises adopt AI tools safely by protecting sensitive data in real-time. As organizations accelerate their adoption of generative and agentic AI, the security landscape is shifting faster than ever before. This role offers an exceptional opportunity to shape the emerging field of AI security from the ground up—defining the research agenda, uncovering real-world security risks in AI tools and platforms, and helping shape how enterprises can adopt AI safely. This position blends hands-on technical research with public thought leadership—from identifying vulnerabilities in emerging AI systems to creating guides, publishing insights, and representing the company at major industry events. Compensation Monthly Salary Range: $120,000 – $225,000 MXN (gross) In addition to competitive base compensation, this role includes meaningful equity participation, providing a direct stake in the company/'s success. What You/'ll Do Lead AI Security Research: Design and drive a greenfield research program focused on securing the use of AI systems and tools. Thought Leadership: Develop practitioner guides and actionable content on securing AI technologies (e.g., "How to Secure ChatGPT Enterprise"). Public Engagement: Represent the company at industry conferences (e.g., RSA, BlackHat, DEFCON) through talks, panels, and research presentations. Threat Intelligence: Research emerging AI threats and threat actors, assessing their impact on customers and the broader ecosystem. Internal Subject Matter Expertise: Partner with Product Security to identify and mitigate AI-related risks across the company/'s products and infrastructure. Success Metrics (6–12 Months) Within your first year, you will be expected to:
- Design, build, and operate a dedicated AI security research environment, enabling safe testing of generative and agentic AI systems and reproducible research workflows.
- Publish and present original research at a major security or AI conference (e.g., Black Hat USA, DEF CON, BSides, or equivalent) that offers actionable insights for practitioners and security leaders.
- Establish a consistent content pipeline, producing high-quality research write-ups, blogs, demos, or practitioner guides that clearly explain risks, attack paths, and defensive strategies.
- Develop a recognizable external presence, securing initial press coverage or analyst mentions that highlight the company/'s leadership in AI security.
- Contribute research that shapes internal product direction, informing detection capabilities, product security priorities, or policy decisions based on real-world risk findings. Required Qualifications Technical Foundation: 3–5 years of experience in cybersecurity or applied ML/AI security research, with a strong interest in how AI systems fail and can be attacked. AI Security Expertise: Hands-on experience assessing or red-teaming LLMs, generative AI tools, or AI-integrated SaaS products. Familiarity with adversarial ML, model extraction, prompt injection, or data poisoning is essential. Security Research
Skills:
Proven ability to design and execute independent research—identifying vulnerabilities, publishing technical findings, and proposing mitigations. Communication & Storytelling: Excellent written and verbal skills for translating complex research into accessible content—whether blog posts, practitioner guides, or conference talks. Strong English proficiency required. Public Presence: A demonstrated interest or track record in presenting or contributing to security or AI conferences (e.g., Black Hat, DEF CON, RSA). Ideal Candidate Profile You may be an excellent fit if you:
- Are comfortable figuring things out from scratch and don/'t wait for detailed instructions to start making progress.
- Are naturally curious—you like to dig into how AI systems actually work and break, and you keep up with new developments because you find them genuinely interesting.
- Enjoy solving hard, undefined problems and can turn ideas into experiments or results quickly.
- Work well with others, share what you learn, and help teammates succeed.
- Take pride in clear, honest communication—whether explaining a technical finding or giving feedback.
- Get energy from teaching others, writing, or speaking publicly about your work.
- Care about impact more than titles or process—you want to enable others to use AI securely. NIST NICE Framework Alignment This role maps to multiple NICE Workforce Framework for Cybersecurity (NIST SP 800-181r1) work roles: PRIMARY WORK ROLE Work Role: Technology Research and Development Work Role ID: SP-TRD-001 Category: Securely Provision (SP) Description: Con
Location:
Remote (Mexico) | Employment Type: Full-Time About the Opportunity A fast-growing cybersecurity company, backed by leading venture capital investors, is seeking a founding AI Security Researcher to build and lead its AI Security Research program from the ground up. The company helps enterprises adopt AI tools safely by protecting sensitive data in real-time. As organizations accelerate their adoption of generative and agentic AI, the security landscape is shifting faster than ever before. This role offers an exceptional opportunity to shape the emerging field of AI security from the ground up—defining the research agenda, uncovering real-world security risks in AI tools and platforms, and helping shape how enterprises can adopt AI safely. This position blends hands-on technical research with public thought leadership—from identifying vulnerabilities in emerging AI systems to creating guides, publishing insights, and representing the company at major industry events. Compensation Monthly Salary Range: $120,000 – $225,000 MXN (gross) In addition to competitive base compensation, this role includes meaningful equity participation, providing a direct stake in the company/'s success. What You/'ll Do Lead AI Security Research: Design and drive a greenfield research program focused on securing the use of AI systems and tools. Thought Leadership: Develop practitioner guides and actionable content on securing AI technologies (e.g., "How to Secure ChatGPT Enterprise"). Public Engagement: Represent the company at industry conferences (e.g., RSA, BlackHat, DEFCON) through talks, panels, and research presentations. Threat Intelligence: Research emerging AI threats and threat actors, assessing their impact on customers and the broader ecosystem. Internal Subject Matter Expertise: Partner with Product Security to identify and mitigate AI-related risks across the company/'s products and infrastructure. Success Metrics (6–12 Months) Within your first year, you will be expected to:
- Design, build, and operate a dedicated AI security research environment, enabling safe testing of generative and agentic AI systems and reproducible research workflows.
- Publish and present original research at a major security or AI conference (e.g., Black Hat USA, DEF CON, BSides, or equivalent) that offers actionable insights for practitioners and security leaders.
- Establish a consistent content pipeline, producing high-quality research write-ups, blogs, demos, or practitioner guides that clearly explain risks, attack paths, and defensive strategies.
- Develop a recognizable external presence, securing initial press coverage or analyst mentions that highlight the company/'s leadership in AI security.
- Contribute research that shapes internal product direction, informing detection capabilities, product security priorities, or policy decisions based on real-world risk findings. Required Qualifications Technical Foundation: 3–5 years of experience in cybersecurity or applied ML/AI security research, with a strong interest in how AI systems fail and can be attacked. AI Security Expertise: Hands-on experience assessing or red-teaming LLMs, generative AI tools, or AI-integrated SaaS products. Familiarity with adversarial ML, model extraction, prompt injection, or data poisoning is essential. Security Research
Skills:
Proven ability to design and execute independent research—identifying vulnerabilities, publishing technical findings, and proposing mitigations. Communication & Storytelling: Excellent written and verbal skills for translating complex research into accessible content—whether blog posts, practitioner guides, or conference talks. Strong English proficiency required. Public Presence: A demonstrated interest or track record in presenting or contributing to security or AI conferences (e.g., Black Hat, DEF CON, RSA). Ideal Candidate Profile You may be an excellent fit if you:
- Are comfortable figuring things out from scratch and don/'t wait for detailed instructions to start making progress.
- Are naturally curious—you like to dig into how AI systems actually work and break, and you keep up with new developments because you find them genuinely interesting.
- Enjoy solving hard, undefined problems and can turn ideas into experiments or results quickly.
- Work well with others, share what you learn, and help teammates succeed.
- Take pride in clear, honest communication—whether explaining a technical finding or giving feedback.
- Get energy from teaching others, writing, or speaking publicly about your work.
- Care about impact more than titles or process—you want to enable others to use AI securely. NIST NICE Framework Alignment This role maps to multiple NICE Workforce Framework for Cybersecurity (NIST SP 800-181r1) work roles: PRIMARY WORK ROLE Work Role: Technology Research and Development Work Role ID: SP-TRD-001 Category: Securely Provision (SP) Description: Con