Sr. Cyber Engineer (AI)

AnaVation•Chantilly, VA

18d

About The Position

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse engineering, and automated exploit discovery. In this role, you will build advanced AI-driven systems to analyze binaries, discover flaws, and support secure engineering across complex environments. You will work at the intersection of security research, machine learning, and large-scale automation—designing tools that push the boundaries of modern vulnerability detection.

Requirements

7+ years of experience in vulnerability research, reverse engineering, or low-level systems security.
Strong proficiency with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, Frida, or similar.
Expert knowledge of exploit classes, memory corruption, program analysis, and OS-level internals.
Professional experience building or integrating ML/AI systems, including transformer-based models or code-intelligence architectures.
Proficiency in Python and at least one low-level language (C/C++, Rust, or Assembly).
Strong understanding of binary formats (ELF, PE), calling conventions, and compiler behaviors.
Experience with static analysis, dynamic instrumentation, fuzzing frameworks, or symbolic execution tools
Active TS/SCI Clearance with CI Polygraph

Nice To Haves

Experience developing AI/ML models that assist in binary analysis, vulnerability detection, and exploit pattern identification.
Experience training or fine-tuning ML models for code or binary analysis.
Familiarity with reinforcement learning, program synthesis, or neurosymbolic reasoning.
Experience analyzing embedded systems, mobile platforms, or cloud-native workloads.
Publications, conference presentations, or open-source contributions in security research or program analysis.
Prior experience in red team research or advanced threat modeling.

Responsibilities

Lead research and development of automated systems for reverse engineering, including static, dynamic, and symbolic analysis workflows.
Create tools to analyze compiled code, firmware, protocols, and novel architecture.
Collaborate with VR researchers to convert cutting-edge techniques into scalable AI-driven capabilities.
Build pipelines for ingesting binaries, disassembling, performing feature extraction, and training ML models.
Perform hands-on reverse engineering of complex software to validate and improve AI-based approaches.
Integrate LLMs and multimodal models into security workflows (e.g., code reasoning, decompilation assistance, exploit surface mapping).
Document methodologies, findings, and architectures for internal engineering and security teams.
Mentor junior engineers and guide cross-functional research initiatives.