Sr. Cyber Engineer (AI)

3 мес. назад

USASeniorOnsite

reverse engineeringmachine learningstatic analysisdynamic analysissymbolic analysisllmpipeline automation

Senior AI Engineer focused on vulnerability research, reverse engineering, and automated exploit discovery using AI-driven systems.

Be Challenged and Make a Difference     In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At , we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.  Description of Task to be Performed: 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 mode

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
Clearance : Active TS/SCI Clearance with CI Polygraph

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.