Instructor & Curriculum Developer, SIML

• 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 8000-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.
• Bachelors 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.

• Masters degree or PhD in Super Intelligence Machine Learning Computer Science Data Science Engineering Mathematicsor 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.

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 candidates 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.

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 Companys policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the 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.