Machine Learning / Full Stack Engineer – US Defense AI Program Location: Remote (USA) – Occasional Travel to San Diego, CA Employment Type: Full-Time Compensation: Up to $180,000 Base Salary (No Benefits) Security Requirement: U.S. Citizenship Required | Active Secret Clearance Preferred (or Ability to Obtain) About the Opportunity Bristol-AI is a leading technology company focused on transforming U.S. Navy maintenance and logistics operations through Artificial Intelligence, predictive analytics, forecasting, and advanced software platforms. We are seeking a highly skilled Machine Learning / Full Stack Engineer to develop next-generation forecasting, optimization, simulation, and AI-powered decision-support systems that improve fleet readiness and maintenance execution for critical U.S. Navy programs. This is an exciting opportunity to work on cutting-edge Defense AI initiatives supporting long-term Department of Defense modernization programs. Key Responsibilities • Develop forecasting, optimization, simulation, and predictive maintenance models using Python and modern machine learning frameworks. • Build production-ready AI solutions utilizing PyTorch, TensorFlow, Scikit-Learn, NumPy, and Pandas. • Design and implement workload forecasting, schedule-risk analysis, workload leveling, and uncertainty modeling solutions. • Develop Monte Carlo simulations, critical-path analysis tools, and resource optimization workflows. • Integrate vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) capabilities. • Build and maintain backend services using FastAPI, PostgreSQL, Pydantic, and modern API architectures. • Collaborate with Full Stack Engineers to deliver React/TypeScript-based dashboards and analytics platforms. • Develop AI-assisted workflows using CopilotKit, Pydantic AI, MCP integrations, AG-UI, and agentic frameworks. • Create automated testing, validation, monitoring, and deployment pipelines. • Support containerized deployments using Docker and Kubernetes, including secure and air-gapped environments. Required Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or a related field. • U.S. Citizen (mandatory). • Active Secret Security Clearance preferred or ability to obtain one. • Strong proficiency in Python 3, NumPy, Pandas, and machine learning development. • Hands-on experience with PyTorch, TensorFlow, or Scikit-Learn. • Experience building production software beyond research notebooks. • Experience with FastAPI, PostgreSQL, Pydantic, APIs, and backend development. • Ability to translate complex operational requirements into practical AI and forecasting solutions. Preferred Qualifications • Prior Department of Defense (DoD), Navy, Federal Government, or Military project experience. • Veterans strongly encouraged to apply. • Experience with predictive maintenance, logistics, fleet operations, or maintenance planning systems. • Knowledge of Monte Carlo simulation, operations research, optimization, and scheduling algorithms. • Experience with PostgreSQL, pgvector, vector databases, embeddings, and RAG architectures. • Familiarity with React, TypeScript, dashboards, and data visualization tools. • Experience with Docker, Kubernetes, Helm, and secure deployment environments. • Experience with observability, model monitoring, experiment tracking, and production AI systems. Why Join Us? • Work on mission-critical AI solutions supporting U.S. Navy modernization efforts. • Contribute to large-scale predictive maintenance and logistics management initiatives. • Collaborate with experienced AI, software engineering, and defense technology professionals. • Opportunity to help shape a rapidly growing Defense AI business. Application Requirements To be considered, applicants must: • Be a U.S. Citizen. • Hold an Active Secret Security Clearance or be eligible to obtain one. • Have experience in Machine Learning, Data Science, AI Engineering, or Full Stack Development. • Be available for occasional travel to the San Diego, CA area when required. Priority Consideration: Veterans, candidates with prior DoD/Military experience, and candidates with active security clearances. Pay: $150,000.00 - $180,000.00 per year Benefits: • Flexible schedule Application Question(s): • Are you a U.S. Citizen? (Required) • Do you currently hold an Active Secret Security Clearance?(Required) • Have you worked on Department of Defense (DoD) or Military projects? (Required) • How many years of professional Machine Learning experience do you have? • How many years of Python development experience do you have? • Have you deployed machine learning models into production environments? • Are you willing to travel occasionally to the San Diego, CA area if required? • What is your current salary? (Annually in USD) • What is your expected salary? (Annually in USD) • What is your notice period? (in days) Work Location: Remote