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Quantum Sky Engineering LLC

Offensive Cyber/AI-ML Engineer

Pay: $150,000–$225,000/yr

Posted: 2 days ago

Location: Reston, VA (Onsite)

Last Updated: 13 hours ago

Hours: Full-Time

Expires: 10/12/2026

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$123,933 / year median in Virginia

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Job Description

Job Requirements Reston, VA Top Secret/SCI Polygraph Unspecified Senior Level Career (10+ yrs experience) $150,000 - $225,000

Job Description Responsibilities:

Reverse-engineer software and firmware and conduct vulnerability research across a range of targets and architectures. Develop proof-of-concept exploits and produce clear findings that inform both offensive operations and defensive hardening. Apply AI/ML — including large language models and agentic systems — to accelerate security research, analysis, and automation. Build machine-learning models that detect anomalous and malicious behavior in high-volume security and operational data. Prototype new capabilities fast, and mature the most promising into hardened, deployable tools. Collaborate across the engineering team and mentor others; help set the technical bar for our offensive-cyber and AI work.

Required:

Bachelor's degree in Engineering, Computer Science, or a related field — or equivalent hands-on experience. Reverse engineering — strong, demonstrated experience with industry-standard tools such as Ghidra and IDA Pro, working comfortably from compiled and stripped binaries. Low-level fundamentals — assembly language (e.g., x86/x64, ARM) and a solid grasp of Windows and Linux internals and debugging. Vulnerability research & exploit development — finding and proving memory-corruption and logic flaws using techniques such as fuzzing and dynamic analysis. Strong programming in Python and C/C++. Applied AI/ML experience — building and deploying real systems with PyTorch and modern open-source LLMs and tooling. Strong problem-solving and communication skills, and the ability to juggle multiple efforts in a fast-moving environment.

Desired:

Embedded / firmware reverse engineering and familiarity with emulation tooling. Experience with agentic / tool-using AI workflows and retrieval-augmented generation (RAG). MLOps and deployment experience (Docker, Kubernetes, model-serving frameworks), including on-prem or edge deployment. Prior work on a government-sponsored offensive-cyber, vulnerability-research, or red-team program. Offensive-security certifications such as OSCP, OSED, GXPN, or GREM.

Clearance:

Active TS/SCI preferred; active SECRET (minimum) with the ability and willingness to obtain higher access. U.S. citizenship required.

group id:

91085617 Apply now