Machine Learning / Full Stack Engineer - US Defense AI Program

• 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., * 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.

Do you have experience in Software engineering?, Do you have a Bachelor’s degree in statistics?, * 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., * 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?

Pulled from the full job description

• Flexible schedule, 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

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.