Super Intelligence/Machine Learning (SI/ML) Instructor & Curriculum Developer

• 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.
  
  
  
   

• Access our 8,000-square-foot IG Labs innovation facility.
• Collaborate with SI researchers, engineers, and mission experts.
• Work with advanced NVIDIA computing environments and SI development platforms.
• Explore emerging technologies including Generative SI, Agentic SI, Retrieval-Augmented Generation (RAG), and autonomous systems.
• Influence SI certifications, workforce development pathways, and future training programs.
• Contribute to real-world SI initiatives supporting government missions.
  
  
  
   

• 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.

• 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!

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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.

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IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.