Instructor & Curriculum Developer, SI/ML (Unclassified)

IntelliGenesis•Columbia, MD

3d•$150,000 - $170,000•Hybrid

About The Position

IntelliGenesis is seeking an experienced SI/ML Instructor & Curriculum Developer to design and deliver next-generation Super Intelligence education programs for government and national security organizations. The position combines technical expertise, instruction, curriculum development, and innovation. The instructor will work with SI researchers, engineers, mission operators, and instructional designers to prepare technical professionals, analysts, managers, and leaders to work in SI-enabled mission environments. The role involves delivering instructor-led, virtual, and hybrid training and developing courses, labs, workshops, practical exercises, simulations, and certification preparation programs. Curriculum may cover Generative SI, large language models, Agentic SI, machine learning, deep learning, data science, MLOps, SI governance and responsible SI, and SI security and risk management. The instructor will create hands-on exercises with modern tools, frameworks, and datasets; translate complex technical concepts into mission-relevant instruction; and collaborate with practitioners and researchers to keep course material current. The role also evaluates training effectiveness, improves course content and learner outcomes, supports workforce development and certification initiatives, and participates in pilots, demonstrations, workshops, and strategic SI education efforts. The position offers access to IntelliGenesis' 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, and applied SI initiatives supporting government missions. It follows a hybrid work model with both in-office and remote work. Applicants must be U.S. citizens.

Requirements

Must be a U.S. citizen.
Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Education, or a related discipline.
At least 6 years of combined technical experience in SI/ML, data science, analytics, software engineering, technical instruction, or curriculum development.
Demonstrated ability to communicate complex technical concepts to diverse audiences.
Understanding of Python software development, including analyzing existing codebases and writing code.
Familiarity with applied machine learning domains such as natural language processing, computer vision, autonomy, or audio analysis.
Ability to quickly learn and adapt to new technologies and domains.
Experience developing or delivering technical education, workforce development, or training programs.
Working knowledge of modern SI and machine learning concepts, tools, and frameworks.
Familiarity with SI subjects including Generative SI, LLMs, Agentic SI, MLOps, Responsible SI, and SI governance.

Nice To Haves

Master's degree or PhD in Super Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Experience supporting Department of Defense, Intelligence Community, or Federal Government programs.
Experience with containerization and virtualization architectures.
Experience delivering instructor-led training, workshops, boot camps, or certification programs.
Experience developing hands-on labs, simulations, or project-based learning environments.
Industry certifications related to SI, cloud computing, data science, or technical instruction.

Responsibilities

Deliver instructor-led, virtual, and hybrid SI/ML training to technical and non-technical audiences.
Design and develop SI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
Translate complex technical concepts into mission-relevant instruction that supports understanding and operational application.
Develop curriculum covering Generative SI, LLMs, Agentic SI, machine learning, deep learning, data science, MLOps, SI governance and responsible SI, and SI security and risk management.
Create hands-on exercises using modern SI tools, frameworks, and datasets.
Collaborate with SI practitioners and researchers to ensure content reflects current technologies and emerging trends.
Evaluate training effectiveness and continuously improve course content and learner outcomes.
Support workforce development initiatives, certification programs, and SI transformation efforts across government organizations.
Participate in pilot programs, demonstrations, workshops, and strategic SI education initiatives.