Do the technical work you got cleared for.

Worthify hires engineers who connect AI with implementation — model services, automation, secure software, data workflows, cyber engineering, and technical analysis — for teams that need reviewable work products. Some roles require clearances; some don't.

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03 positions

01 / 03

Senior Machine Learning Engineer - Agentic AI Systems

Agentic AICyber dataTS/SCI

Develop agentic AI services for cyber data, analyst workflow support, retrieval, inference, behavior detection, and automated discovery.

This role supports product and program work where model behavior, deployment constraints, data quality, and analyst review requirements have to be handled together.

What you will do

Architect, train, evaluate, and deploy AI systems for reasoning, planning, retrieval, and tool use.
Build distributed training and inference workflows with practical model versioning and experiment tracking.
Work with cyber analysts and subject-matter experts to turn operational needs into working models and services.
Identify model failure modes, security risks, and evaluation gaps before systems reach users.

What we are looking for

4+ years building production ML systems.
Strong Python and hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
Experience with LLM orchestration, retrieval, memory, planning, or agentic workflows.
Active TS/SCI clearance.

02 / 03

Reverse Engineering Engineer - AI-Powered Analysis

Reverse EngineeringBinary analysisAutomation

Perform binary and firmware analysis, protocol review, and workflow automation for technical teams using ReAgent-style review processes.

The work combines static and dynamic inspection, tool development, repeatable notes, and reporting that lets another engineer confirm the analysis path.

What you will do

Reverse engineer binaries, firmware, and network protocols using tools such as Ghidra, IDA Pro, Binary Ninja, and debuggers.
Write Python automation to speed up triage, extraction, labeling, and repeatable analysis.
Collaborate with ML and platform engineers to turn reverse engineering patterns into usable product features.
Document findings with enough context for engineers, analysts, and customers to act on them.

What we are looking for

1-3 years of reverse engineering, vulnerability research, or low-level systems experience.
Comfort with assembly, C/C++, operating-system internals, and binary file formats.
Python scripting experience and a bias toward repeatable workflows.
Interest in model-supported analysis without treating model output as ground truth.

03 / 03

Machine Learning and Reverse Engineering Intern

InternshipRemoteMentorship

Support engineering projects that combine machine learning, binary analysis, data labeling, and secure software tooling.

This internship is structured for students and early-career engineers who want supervised work on technical artifacts rather than generic training tasks.

What you will do

Prototype small tools that support binary analysis, data labeling, model evaluation, or analyst workflow automation.
Assist engineers with experiments, documentation, and tests for ReAgent reverse engineering features.
Learn how to turn research ideas into maintainable software artifacts.

What we are looking for

Python experience and curiosity about ML, cybersecurity, or reverse engineering.
Comfort reading technical docs and asking precise questions.
U.S.-based availability for remote collaboration.