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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # STINGRAI Cognitive Science (AI/ML) Engineer (Engineer Machine Le - **Company:** HII Mission Technologies - **Location:** Washington, DC, United States - **Salary:** $99,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Artificial Neural Networks, Big Data, Cloud Computing, Cognitive Science, Databases, Data Mining, DevOps, Machine Learning, Release Management, Signal Processing, Software Engineering, Software Systems, Systems Architecture, Systems Integration, Data Processing, Deep Learning, Parallel Computation, Git, Containerization, Information Technology, Modeling and Simulation, Software Version Control - **Published:** July 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9010560/stingrai-cognitive-science-aiml-engineer-engineer-machine-le ## About the Role * Level 2: 2 years of relevant experience with bachelor's in related field; 0 years of experience with master's in related field; or High School Diploma or equivalent and 6 years relevant experience * Level 3: 5 years relevant experience with bachelor's in related field; 3 years relevant experience with master's in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience * Level 4: 9 years relevant experience with bachelor's in related field; 7 years relevant experience with master's in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience. * Level 5:15 years relevant experience with bachelor's in related field; 13 years relevant experience with master's in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience * Demonstrated experience researching, designing, developing, and implementing AI/ML algorithms and models * Strong understanding of data-mining methodologies, statistical analysis, and large-scale data processing * Experience developing analytical architectures, data models, and protocols that support trend identification and decision advantage * Experience with deep learning, neural networks, and advanced ML frameworks * Knowledge of RF data processing or experience applying ML to signal-processing problem sets (preferred) * Proficiency with supporting technologies, including cloud platforms, containerization tools, parallel computing, databases, and Git * Experience integrating AI/ML capabilities with modeling, simulation, or advanced analytic environments * Strong understanding of software-development lifecycles, DevOps practices, algorithm verification, and system integration * Demonstrated ability to communicate complex technical concepts to both technical and non-technical stakeholders * Proven ability to self-manage workload, prioritize tasks, and deliver high-quality results in a dynamic environment * Clearance: Must possess and maintain a Top-Secret clearance Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. ## Description Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: * Know & Grow Your People - Commit to learning and supporting team success. * Build Relationships - Communicate openly, collaborate well, and build trust. * Take Ownership - Deliver on commitments and take pride in your work. * Customer First - Focus on the mission and those we serve. * Shape the Future - Bring ideas, curiosity, and continuous improvement. * Act with Urgency - Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are HII - Mission Technologies is seeking a Cognitive Science (AI/ML) Engineer. The Cognitive Science Engineer supports innovative research, advanced technology development, and the integration of emerging AI and machine-learning capabilities across mission-focused programs. This role applies deep expertise in artificial intelligence, machine learning, data science, and software engineering to develop new algorithms, assess cutting-edge technologies, and provide strategic insights to senior decision-makers. The engineer evaluates the feasibility and defense applicability of new technological concepts, creates data-mining architectures, develops analytical models, and designs advanced AI solutions tailored to large and complex datasets. This position also contributes to modeling and simulation environments, integrates AI engines into enterprise systems, and conducts research into advanced ML techniques-including those used for Radio Frequency (RF) data processing. This requisition supports hiring at multiple experience levels. Final placement will be determined based on the selected applicant's qualifications, experience, and skill sets. STINGRAI: Advancing Mission Success Through Intelligence, Innovation, and Operational Excellence Every day, HII helps U.S. Southern Command (SOUTHCOM) and its mission partners stay ahead of evolving threats by delivering the intelligence, technology, and operational expertise needed to protect U.S. interests across the Western Hemisphere. Join our team on STINGRAI and support mission-critical operations through advanced intelligence, surveillance, cyber, engineering, and all-domain capabilities that strengthen regional security, enable informed decision-making, and help defend our nation today while preparing for tomorrow's challenges. What You Will Do * Support innovative research efforts by leveraging advanced AI/ML expertise to evaluate, develop, and transition emerging technologies * Provide strategic assessments of current and emerging technologies, delivering insights to senior leaders on feasibility, risk, and defense applications * Conduct background research to evaluate novel technological concepts and their relevance to mission needs * Develop data-mining architectures, models, protocols, statistical reporting, and analytic methodologies to identify trends in large and complex datasets * Research, design, and develop advanced AI algorithms and solutions at the intersection of AI and data science * Apply AI and ML methods to refine, optimize, and enhance existing and newly developed algorithms * Provide analysis, requirements development, algorithm design, implementation, integration, verification, and maintenance for AI software systems * Collaborate across multi-functional teams to identify opportunities for improving enterprise-level IT services and advanced engineering solutions * Research and implement ML techniques tailored for processing Radio Frequency (RF) data * Exercise a strong understanding of software systems, deep learning, AI design methods, and system-of-systems architectures * Leverage supporting technologies such as cloud computing, containerization, parallelization, database systems, and Git-based source management * Participate in algorithm design, targeting techniques, classification frameworks, and ML development cycles * Integrate AI engines and ML techniques into modeling and simulation applications * Follow standard DevOps practices, including source control, change management, and release planning * Manage workload independently and ensure timely completion of tasks and deliverables ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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