Talantix.io
TRM Labs•13.02.26
AI SCORE 8.5

Applied AI Engineer - National Security (Remote)

$200K–$265K/year
RemoteWeb3 Security
Python•Machine Learning•API Integration•SQL•Kubernetes•Terraform•PyTorch•TensorFlow

About the Role

We are seeking a talented Applied AI Engineer - National Security (Remote) to join our mission-driven team at TRM Labs. As an Applied AI Engineer, you will play a crucial role in deploying AI systems that enhance national security efforts. This position is designed for those who are passionate about leveraging technology to protect civilization and make a real impact in the world.

What You'll Do

  • Deploy AI systems at the mission edge, acting as the primary technical interface with national security customers.
  • Build, tune, deploy, and optimize AI applications tailored to meet mission needs, ensuring performance at scale.
  • Utilize techniques such as retrieval-augmented generation and prompt optimization to enhance AI capabilities.
  • Drive pilots and long-term programs by collaborating directly with end users, capturing feedback, and measuring mission impact.
  • Adapt solutions to real-world constraints while ensuring secure and reliable integration in classified environments.

Requirements

  • Strong background in ML model evaluation/tuning, Python, API integration, SQL, and MCP servers.
  • Proven ability to deliver results quickly within highly regulated environments.
  • Excellent communication skills to interface confidently with both technical and non-technical stakeholders.
  • Active TS/SCI clearance with Polygraph is mandatory.
  • Bonus: Experience with ML frameworks (PyTorch, TensorFlow), API design, Kubernetes, and Terraform.

Nice to Have

  • Experience in deploying AI solutions in high-stakes environments.
  • Familiarity with agile methodologies and rapid deployment practices.
  • Understanding of blockchain technology and its applications in security.

What We Offer

  • Competitive salary range of $200,000 - $265,000 per year.
  • Participation in TRM’s equity plan.
  • Flexible remote work environment with a focus on results.
  • Opportunities for professional growth and development.
  • A mission-driven culture that values speed, transparency, and impact.

Join us as an Applied AI Engineer - National Security (Remote) and contribute to building a safer world. If you are excited about this opportunity but don’t meet every requirement, we encourage you to apply anyway. We value potential and the willingness to learn. Let’s work together to protect civilization!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of AI and national security, with a competitive salary and a mission-driven culture.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Strong proficiency in Python and experience with machine learning frameworks such as PyTorch and TensorFlow, enabling development of robust AI models tailored for national security applications.

→

A self-motivated and disciplined work ethic suited for a remote environment, with a proven ability to deliver complex projects independently while managing time effectively across multiple AI deployment initiatives.

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Deep understanding of API integration and cloud infrastructure management using Kubernetes and Terraform, demonstrating the ability to streamline deployment processes and enhance system scalability in high-stakes environments.

Learning Resources

→Python for Data Science Handbookguide
→Deep Learning with PyTorch: A 60 Minute Blitzcourse
→API Integration with Pythonarticle

Career Path

Applied AI Engineer - National Security(Now)→Lead Applied AI Engineer(1-2 years)→Director of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$3.5B
Annual Growth
22.5%
AI Adoption in National Security
75%
Investment in AI for Defense
+150%
Labour Demand for AI Engineers
+30%
Avg Salary for Applied AI Engineer
$145K

Skills & Requirements

Required
PythonMachine LearningAPI Integration
Growing in Demand
Deep LearningNatural Language Processing (NLP)DevOps for AI
Declining
RMATLAB

Domain Trends

Increased Use of AI for Threat Detection
AI technologies are being increasingly deployed for real-time threat detection, with 68% of agencies reporting improved response times.
Integration of AI in Cybersecurity
The integration of AI in cybersecurity is projected to grow by 30% annually, with organizations investing heavily in machine learning models to predict and mitigate threats.
Rise of Edge Computing in National Security
Edge computing is gaining traction with a 40% increase in deployments, enabling faster data processing and analysis for national security applications.

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