[Remote] Applied AI Engineer - National Security (TS/SCI)
Note: The job is a remote job and is open to candidates in USA. TRM Labs is a company that provides blockchain analytics and AI solutions to enhance security for law enforcement and national security agencies. They are seeking an Applied AI Engineer to deploy AI systems in secure environments, focusing on building and optimizing AI applications to support national security missions.
Responsibilities
• Deploy AI to the mission edge. Act as the primary technical interface with national security customers, deploying TRM’s AI capabilities into classified, airgapped, and mission-critical environments. Adapt solutions to real-world constraints while ensuring secure, reliable integration
• Own AI application lifecycles. Build, tune, deploy, and optimize AI systems tailored to mission needs. Apply techniques like retrieval-augmented generation, prompt optimization, and fine-tuning to ensure performance at scale
• Accelerate mission wins. Drive pilots and long-term programs by working directly with end users, closing the loop between operators and engineering. Capture field feedback, measure mission impact, and channel insights back into TRM’s product and research roadmaps
Skills
• Strong background in ML model evaluation/tuning, Python, API integration, SQL, and MCP servers
• Proven ability to deliver results quickly within highly regulated or bureaucratic environments
• A customer-first mindset: you identify mission impact, work backward from it, and remove blockers to deliver
• Excellent communicator, able to interface confidently with technical and non-technical stakeholders and build trust in high-stakes settings
• Candidate must have an active TS/SCI clearance with Polygraph
• Experience with ML frameworks (PyTorch, TensorFlow), API design, Kubernetes (Helm), and Terraform/IaC deployments
Benefits
• May be eligible to participate in TRM’s equity plan
Company Overview
• TRM Labs is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://trmlabs.com.
Apply Now
Apply Now
Responsibilities
• Deploy AI to the mission edge. Act as the primary technical interface with national security customers, deploying TRM’s AI capabilities into classified, airgapped, and mission-critical environments. Adapt solutions to real-world constraints while ensuring secure, reliable integration
• Own AI application lifecycles. Build, tune, deploy, and optimize AI systems tailored to mission needs. Apply techniques like retrieval-augmented generation, prompt optimization, and fine-tuning to ensure performance at scale
• Accelerate mission wins. Drive pilots and long-term programs by working directly with end users, closing the loop between operators and engineering. Capture field feedback, measure mission impact, and channel insights back into TRM’s product and research roadmaps
Skills
• Strong background in ML model evaluation/tuning, Python, API integration, SQL, and MCP servers
• Proven ability to deliver results quickly within highly regulated or bureaucratic environments
• A customer-first mindset: you identify mission impact, work backward from it, and remove blockers to deliver
• Excellent communicator, able to interface confidently with technical and non-technical stakeholders and build trust in high-stakes settings
• Candidate must have an active TS/SCI clearance with Polygraph
• Experience with ML frameworks (PyTorch, TensorFlow), API design, Kubernetes (Helm), and Terraform/IaC deployments
Benefits
• May be eligible to participate in TRM’s equity plan
Company Overview
• TRM Labs is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://trmlabs.com.
Apply Now
Apply Now