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Senior Security Researcher
On-siteFull-timeSecurity EngineeringCybersecurity
Join a cybersecurity research team developing AI- and machine-learning-driven protections. You will analyze malware and endpoint behavior, translate security findings into model features and detection logic, and lead research from initial hypothesis through production.
Responsibilities
- Translate malware behavior and static file attributes into features, labels, heuristics, and automated security logic
- Analyze endpoint telemetry, including memory buffers, hook outputs, and interprocess communication artifacts
- Evaluate detection and algorithm effectiveness and collaborate with AI researchers on model improvements
- Analyze PE, ELF, and Mach-O executables and scripts for packing, anomalous imports, obfuscation, and other malicious behavior
- Validate security hypotheses through data analysis and build Python proof-of-concepts for production detections
- Develop machine-learning classifiers and AI-informed automated rule generation
- Shape data pipelines, datasets, and model designs to represent current threat behavior accurately
- Drive security research projects from inception through production deployment
Requirements
- At least 3 years of experience in endpoint security research or offensive or defensive operating-system internals
- Strong conceptual knowledge of Windows, Linux, or macOS subsystems, with deep expertise in at least one
- Practical experience with static and dynamic malware analysis and reverse engineering
- Experience parsing file structures, unpacking binaries, and analyzing execution flow
- Hands-on experience with low-level monitoring and tracing tools such as Sysinternals, strace, ptrace, lsof, or netstat
- Knowledge of malware techniques including MITRE ATT&CK methods, process injection, API hooking, and operating-system-level evasion
- Strong investigative, data-analysis, and security signal interpretation skills
- Proficiency in Python for data manipulation, file parsing, and rapid prototyping
- Ability to communicate low-level security research clearly to data scientists, MLOps specialists, and product managers
- Ability to independently lead complex research initiatives from inception to production
Nice to have
- Experience reading or interpreting C, C++, or Rust code
- Experience with big data platforms such as GCP and SQL or related query languages
- Experience collaborating with data science teams or machine-learning workflows
Benefits
- Reasonable workplace accommodations for qualified individuals with disabilities or special needs
- Equal opportunity employment
- Immigration sponsorship is not available for this role