Citizenship Requirement: Must be U.S. Citizen
Clearance Requirement: TS/SCI clearance with polygraph
*This role offers a hybrid work model, with both in-office and remote work.*IntelliGenesis is seeking an experienced SI/ML Instructor & Curriculum Developer to help design and deliver next-generation SI education programs supporting government and national security organizations.
This role combines technical expertise, instruction, curriculum development, and innovation. You will work alongside SI researchers, engineers, mission operators, and instructional designers to create learning experiences that prepare technical professionals, analysts, managers, and leaders to succeed in an SI-enabled future.
Unlike traditional training roles, you will have access to IntelliGenesis' advanced SI research environment, including our 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, and ongoing applied SI initiatives supporting real-world mission challenges.
What You'll Do- Deliver engaging instructor-led, virtual, and hybrid SI/ML training programs to technical and non-technical audiences.
- Design and develop innovative SI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
- Translate complex technical concepts into mission-relevant instruction that drives understanding and operational application.
- Develop curriculum covering topics such as:
- Generative SI
- Large Language Models (LLMs)
- Agentic SI
- Machine Learning
- Deep Learning
- Data Science
- MLOps
- SI Governance and Responsible SI
- 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.
Required Qualifications:- Must be a U.S. Citizen.
- Active TS/SCI clearance with polygraph.
- Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Education, or related discipline.
- 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 analysis of existing codebases and ability to write code.
- Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, 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 a variety of SI subjects including Generative SI, Large Language Models, Agentic SI, MLOps, Responsible SI, and SI governance.
Desired Qualifications:- Master's degree or PhD in Super Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or 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.
Join us in helping build the SI-ready workforce needed to support tomorrow's missions!Compensation Range: $170,000 - $210,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
