FTI - Frontier Technology Inc.

Data Scientist

• Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities.
• Leverage these models to identify areas of operational optimization and monitoring to reduce the risk of mishaps.
• Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models.
• Assist with the collection and organization of multiple data types, including but not limited to manning, maintenance, readiness, operational tempo, command climate, and incident reports.
• Apply data science and inductive reasoning approaches to analyze this data and to find patterns to safety mishaps to allow senior leadership to implement risk mitigation measures.
• Participate in technical interchange meetings, analytical update meetings, program management reviews, and other meetings as required.

Machine Learning Engineer

• Assist in the design, development, and deployment of AI/ML models and analytics solutions.
• Support data preparation, feature engineering, and model training using modern ML frameworks.
• Contribute to MLOps workflows, including testing, validation, and automation for model deployment.
• Collaborate with engineers to integrate AI/ML capabilities into software systems and applications.

AI/ML Engineering Internship

Full-stack Engineer

• Design and implement APIs, data pipelines, and simulation runtime logic
• Develop software using Java, Python, C++, or TypeScript/Angular
• Write clean, testable, and maintainable code following secure coding and software engineering best practices
• Build and integrate modular microservices
• Build and deploy containerized, cloud-native services using Docker and Kubernetes
• Implement Infrastructure-as-Code and automation scripts
• Develop distributed systems and data integration frameworks using message buses
• Engineer data flow between analytic, AI, and simulation components
• Collaborate with system engineers and architects
• Build and manage databases (PostgreSQL, MongoDB)
• Write, test, and deploy software within secure or classified environments
• Support the transition of prototypes to operational systems

AI/ML Software Engineer

• Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives
• Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain
• Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration)
• Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid)
• Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services
• Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT)
• Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy
• Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots
• Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs
• Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

AI/ML Engineer

Solutions Engineer

• Support weapons integration subject matter expertise for all activities including sustainment updates, aircraft interface requirements/test, and new weapon integration/fielding certification.
• Actively monitor weapons program developments, issues, and roadmaps for integration assistance and incorporation into the B-52 weapons system.
• Analyze and make recommendations to the government in the area of weapons integration following established systems engineering processes.
• Review and comment on numerous documents, such as assessment reports, system engineering plans, and other technical documents.
• Apply platform-level airworthiness experience for coordinating or integrating aircraft-level certification packages.
• Support milestone readiness assessments and budget/cost estimates across all modernization programs.
• Work with the B-52H SPO to increase FTI technical footprint to further our role providing SME level analysis and resources​.

Senior Weapon Systems Integration Engineer

• Support weapons integration subject matter expertise for all activities including sustainment updates, aircraft interface requirements/test, and new weapon integration/fielding certification.
• Actively monitor weapons program developments, issues, and roadmaps for integration assistance and incorporation into the B-52 weapons system.
• Analyze and make recommendations to the government in the area of weapons integration following established systems engineering processes.
• Review and comment on numerous documents, such as assessment reports, system engineering plans, and other technical documents.
• Apply platform-level airworthiness experience for coordinating or integrating aircraft-level certification packages.
• Support milestone readiness assessments and budget/cost estimates across all modernization programs.

Security Engineer

• Obtain an Authority to Operate (ATO) through the appropriate Navy Authorizing Official (AO).
• Guide the ATO package through the RMF process.
• Manage the ATO package in eMASS.
• Manage the cybersecurity program for NAVAIR and advise the government on best cybersecurity practices.
• Oversee compliance and auditing, ensuring adherence to applicable industry standards, government regulations, and internal policies.
• Identify vulnerabilities, evaluate risks, and implement controls to reduce exposure.
• Up to 75% travel to the customer site at Pt. Mugu, CA.

Information Systems Security Manager

• Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities.
• Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models.
• Assist with the collection and organization of multiple data types.
• Apply data science and inductive reasoning approaches to analyze data and find patterns of safety mishaps.