Senior AI Reverse Engineering Researcher

Highlights

• Apply AI and ML to reverse engineering and malware detection challenges.
• Design new analysis methods to identify emerging complex security threats.
• Support national defense by improving software-intensive systems security.

What they offer

• 8% monthly retirement contribution without employee contribution
• Tuition benefits to CMU and other institutions for you and dependents
• Comprehensive medical, prescription, dental and vision insurance
• Paid time off, observed holidays, life and disability insurance
• Free Pittsburgh Regional Transit bus pass and fitness center access
• Annual professional development, conference and certification support
• Relocation assistance and family concierge / childcare support

Ideal candidate

Analytical, curious data scientist fascinated by how software works who thrives on emerging threats, balances rapid prototyping with rigor, and enjoys mentoring and sharing with technical and non-technical audiences.

Requirements

• BS in Data Science, Computer Science or related with 8-10 years experience; MS with 5-8 years; or PhD with 2-5 years
• Experience with predictive modeling, data science, AI/ML and statistical modeling techniques
• Experience with modern ML frameworks such as LightGBM/XGBoost, CatBoost, PyTorch, JAX, TensorFlow
• Experience with LLMs / agentic workflows (LangChain, LlamaIndex, Haystack)
• Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI or similar)
• Experience with disassemblers, decompilers and debuggers (IDA Pro, NSA Ghidra)
• Experience with high-level programming languages (Java, Python, GoLang)
• Familiarity with malware tradecraft and threat actor TTPs
• Strong technical writing and communication with technical and non-technical audiences
• Willingness to travel to sponsor sites, conferences and offsite meetings
• Able to undergo background check and obtain and maintain active Department of War security clearance