Security Clearance

Senior Manager, Industrial Security (FSO) | $153K–$175K | Defense & Aerospace | Greenville, TX

Job Title: Sr. Manager, Industrial Security (Facility Security Officer - FSO)
Location: Greenville, TX (Onsite)
Industry: Aerospace / Aviation / Defense
Category: Security / Industrial Security
Seniority Level: Mid-Senior
Employment Type: Full-Time
Work Schedule: 9/80 Regular
Remote/Onsite: Onsite (classified work required)
Travel: Occasional
Visa Candidates Considered: No
Security Clearance Required: Yes (Top Secret/SCI, adjudicated and in-scope T5)
Relocation Assistance: Yes
Compensation:

  • Base Salary: $153,000 – $175,000

  • Bonus Eligible: No

  • Commission: No

  • Overtime Eligible: No

  • Benefits: Full benefits package included

  • Interview Travel Reimbursed: No

Role Overview:

A leading defense and aerospace organization is seeking a Senior Manager, Industrial Security (FSO) to oversee and manage all aspects of classified security operations supporting Department of Defense (DoD) and Intelligence Community (IC) programs. This leadership role is critical in ensuring compliance with national security regulations, managing the security program lifecycle, and protecting sensitive assets, personnel, and facilities.

Key Responsibilities:

  • Manage, implement, and enforce security compliance per the National Industrial Security Program (NISP) and 32 CFR Part 117 (NISPOM Rule).

  • Serve as the designated Facility Security Officer (FSO) and lead a multidisciplinary security team covering industrial, personnel (PERSEC), physical, and information security.

  • Develop and maintain SOPs, Operational Security Programs, and ensure compliance with all federal and company security policies.

  • Lead and support government security investigations, audits, and assessments.

  • Oversee COMSEC program management, asset tracking, and accountability.

  • Conduct security training, briefings, and education for staff with access to classified material.

  • Engage with stakeholders to interpret security directives, mitigate insider threats, and respond to compliance challenges.

  • Utilize tools and systems such as SIMS, NISS, DISS/NBIS, and maintain familiarity with ICD 705 standards.

  • Maintain up-to-date knowledge on evolving federal security regulations and interdisciplinary compliance across IT, cybersecurity, and configuration management.

  • Act as a security advisor to site leadership and corporate teams to ensure effective protection of personnel, facilities, and information.

Minimum Qualifications:

  • Bachelor’s degree with at least 12 years of relevant experience, or

  • Graduate degree with at least 10 years of related experience, or

  • 16+ years of experience in lieu of a degree.

  • FSO Certification as defined by Defense Counterintelligence and Security Agency (DCSA).

  • Minimum 5 years of direct hands-on FSO experience.

  • Current DoD Top Secret/SCI clearance with adjudicated, in-scope T5 investigation.

  • U.S. Citizenship required.

Preferred Qualifications:

  • Counterintelligence or full-scope polygraph.

  • Degree(s) in Security Management, Criminal Justice, Homeland Security, or related fields.

  • Proficiency in SIMS, NISS, DISS/NBIS; familiarity with ICD 705.

  • Experience with Insider Threat Program management.

  • Knowledge of COMSEC handling and procedures.

  • Professional certifications such as ISP, CPP, or other security designations.

  • Familiarity with DCS, FMS programs, or international travel processes.

Ideal Candidate Profile:

  • Brings 5+ years of direct FSO experience in a classified defense or intelligence setting.

  • Holds a valid FSO certificate and an active Top Secret/SCI clearance.

  • Demonstrates deep understanding of DoD and IC regulatory frameworks.

  • Highly organized, self-motivated, and capable of operating independently in a fast-paced environment.

  • Strong leadership, compliance, and stakeholder engagement skills.

 

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

  • Lead platform upgrades to ensure products remain cutting-edge and effective.

  • Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

  • Optimize data pipelines and access patterns for performance and scalability.

  • Troubleshoot and resolve runtime and performance challenges.

  • Architect robust, scalable, and user-friendly applications designed for long-term growth.

  • Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

  • Languages & Tools: Python (primary), Docker, Git

  • Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

  • Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

  • Experience in defense-related applications.

  • Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

  • Strong written and verbal communication.

  • Pragmatic approach with a focus on delivering incremental value.

  • Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.

 

Data Scientist (TS/SCI W/Poly) – Fort Meade, MD | $185K Salary

Job Title: Data Scientist, TS/SCI W/Poly – Fort Meade, MD - $185,000

Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Defense & Space
Compensation: Up to $185,000
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available
Clearance Required: TS/SCI with Polygraph (Full Scope Poly preferred)

Position Overview

This role involves working in a dynamic environment, applying advanced data science techniques to address complex challenges. You will be part of a dedicated team providing data-driven solutions to support the Intelligence Community. This position emphasizes the development and integration of innovative analytical tools and techniques to meet evolving client needs.

If you are passionate about solving challenging problems, honing your technical expertise, and contributing to critical missions, this role offers excellent opportunities for professional growth.

Primary Responsibilities

  • Conduct advanced research and implement data science solutions to detect and classify objects using tools like Python, TensorFlow, and PyTorch.

  • Integrate diverse datasets into coherent databases and train foundation models to support mission objectives.

  • Fine-tune machine learning models to address specific intelligence questions.

  • Create clear documentation and present findings to key decision-makers.

  • Collaborate with stakeholders across government, industry, and academia to drive consensus and achieve shared goals.

  • Adapt to shifting priorities and assist with ad hoc tasks as needed.

Qualifications

Required:

  • Active TS/SCI clearance with Polygraph.

  • Bachelor’s degree in a technical field such as Computer Science, Mathematics, or Statistics.

  • A minimum of 3 years of experience in data science.

  • Proficiency in Python or R.

  • Experience with Machine Learning, Computer Vision, or Object Detection.

Preferred:

  • Experience with PyTorch, Keras, or analyzing overhead imagery.

  • Master’s degree in a technical field with at least 1 year of relevant experience.

Key Competencies

  • Strong analytical, problem-solving, and critical-thinking skills.

  • Excellent written, verbal, and graphical communication abilities.

  • Ability to work both independently and collaboratively in a fast-paced environment.

  • Proficiency with standard tools, including Microsoft Office and relevant network systems.

Note: This position requires U.S. Citizenship due to the nature of the work and the clearance requirements.

This description ensures compliance with your preferences for anonymity and rephrases content to maintain originality.

 

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