Ml Compiler Engineer Jobs in Washington (NOW HIRING)

OVERVIEW: 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. GENERAL DUTIES: * 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. REQUIRED QUALIFICATIONS: * 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 DESIRED QUALIFICATIONS: * 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. CLEARANCE: * Active TS/SCI with Full Scope Polygraph through the VA Customer