Apply on Employer Site

Cynet Security · 9 hours ago

Security Researcher

United States

Full-time

Remote

Senior Level

5+ years exp

Cynet Security is a rapidly growing cybersecurity startup focused on building next-generation AI-powered security products. As a Security Researcher, you will drive innovation by combining deep security research with AI techniques to develop impactful security capabilities and enhance Cynet's AI antivirus engine.

ComputerCyber SecurityNetwork Security

Responsibilities

Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities

Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis

Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end

Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure

Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models

Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions

Qualification

Cybersecurity researchCC++PythonMalware analysisThreat detectionWindows internalsStaticDynamic analysisStatistical conceptsML feature engineeringSQLSparkData Science certificationML frameworksGenerative modelsCloud securityDevOps tooling

Required

5+ years of hands-on cybersecurity research experience

Proven experience working with EDR, malware analysis, threat detection, and security tooling

Proficiency in C, C++, and Python with strong debugging abilities

Solid understanding of Windows internals, including low-level OS concepts

Experience with static and dynamic analysis, reverse engineering, and real-world threat investigations

A scientific, data-driven approach to problem-solving, from ideation through experimentation and production

Strong understanding of statistical concepts and ML feature engineering techniques

Experience analyzing large-scale datasets using SQL, Spark, or similar tools

Preferred

Certifications or academic background in Data Science / Machine Learning / AI

Experience with ML frameworks and experimentation environments

Experience with generative models, agentic reasoning, or building LLM-based AI systems

Familiarity with cloud security, DevOps tooling, or MLOps practices

Company

Cynet Security

Cynet’s unified, AI-powered cybersecurity platform brings together a full suite of security capabilities in a single, simple solution, backed by 24/7 SOC support.

Founded in 2015

New York, New York, USA

201-500 employees