Ai security Researcher | Product Development

Company Description Cybervie-Cyber Security Services is a fast-growing cybersecurity firm that brings together top industry talent to deliver advanced, technology-driven protection for organizations. The team specializes in managing and mitigating cyber threats while helping clients navigate complex compliance requirements. Cybervie provides a range of offerings, including Cybersecurity as a Service, People as a Service, SIEM as a Service, and SOC as a Service, to address different operational and staffing needs. The company remains at the forefront of cybersecurity innovation, continually evolving its practices and solutions to counter emerging threats. Joining Cybervie means contributing to a dynamic, client-focused defense force powered by people who are passionate about security.
Role Description The AI Security Researcher | Product Development role is a remote contract position focused on advancing Cybervie’s security products and services. Day-to-day responsibilities include conducting AI-driven security research, analyzing emerging threats, and exploring how AI can be used to detect, prevent, and respond to cyber attacks. The role involves collaborating with product teams to design and refine security features, performing technical assessments of application and infrastructure security, and contributing to proof-of-concept implementations. The researcher will document findings, develop technical reports and recommendations, and support the integration of research outcomes into Cybervie’s offerings such as SOC, SIEM, and cybersecurity services. This role also requires close coordination with engineering, operations, and client-facing teams to ensure research insights translate into practical, scalable product improvements.
Qualifications
Strong foundation in Cybersecurity and Application Security, with experience assessing and improving security in AI-driven or software systems.
Hands-on expertise in Malware Analysis and Reverse Engineering for binaries, scripts, or AI-enabled threats.
Proven Security Research skills, including designing experiments, evaluating threat models, and publishing or documenting technical findings.
Proficiency with common security tools and frameworks (e.g., SIEM platforms, static/dynamic analysis tools, penetration testing utilities).
Experience or strong interest in AI/ML security (model robustness, adversarial attacks, data poisoning, secure model deployment) is highly beneficial.
Bachelor’s or master’s degree in Computer Science, Cybersecurity, Information Security, or a related technical field, or equivalent practical experience.
Solid programming/scripting skills (such as Python, Go, C/C++, or similar) for tooling, automation, and proof-of-concept development.
Ability to work independently in a remote setting, manage multiple research tasks, and communicate complex technical concepts clearly to diverse stakeholders.

Work arrangement
Yes