STINGRAI Cognitive Science (AI/ML) Engineer (Engineer Machine Learning 2) - 29202

Mission Technologies, a division of HII; Washington (District of Columbia); On-site; USD 99,000 - 175,000; Full time

Job summary

HII – Mission Technologies, within All-Domain Operations (ADO), is seeking a Cognitive Science (AI/ML) Engineer. You will apply deep expertise in AI, machine learning, data science, and software engineering to develop algorithms, assess technologies, and provide strategic insights to senior decision-makers.

The engineer evaluates feasibility, creates data-mining architectures, designs AI solutions for large datasets, and integrates AI engines into enterprise systems and modeling environments,

Qualifications

• Demonstrated experience researching, designing, and implementing AI/ML algorithms.
• Strong data-mining, statistical analysis, and large-scale data processing skills.
• Ability to develop analytical architectures and data models.
• Experience integrating AI into enterprise systems and modeling environments.
• RF data processing knowledge is a plus.

Responsibilities

• Support innovative research by evaluating and transitioning emerging technologies.
• Provide strategic assessments of technologies to senior leaders on feasibility and risk.
• Develop data-mining architectures, models, and analytic methodologies for trends in large datasets.
• Research, design, and develop advanced AI algorithms at the intersection of AI and data science.
• Integrate AI engines and ML techniques into modeling and simulation applications.
• Follow DevOps practices and manage tasks to deliver on schedule.

Skills

AI/ML

Data mining

Large-scale data processing

Cloud computing

Containerization

DevOps

Modeling & simulation

RF data processing

Education

Bachelor's degree in related field

Tools

Git

Containerization

Cloud computing

Job description

Requisition Number: 29202
Required Travel: 11 - 25%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $99,000.00 - $175,000.00
Security Clearance: Top Secret
Level of Experience: Mid HI
This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.
HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.

Leadership Mindset at HII – Mission Technologies

Role

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.

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

What We Are Looking For

• 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