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Machine Learning Teaching Jobs in Washington (NOW HIRING)

Associate Professor

Washington, DC ยท On-site

$100K - $115K/yr

Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics. * Collaborate across disciplines to apply AI methodologies to analyze and model ...

Data Scientist 4

Annapolis, MD ยท On-site

$211K - $266K/yr

... teach AI/ML skills to more junior Data Scientists. You will need to be proficient with API ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Computer Vision Engineer

Sterling, VA ยท On-site

$110K - $130K/yr

It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making ...

Python Tutor

Alexandria, VA ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Python Tutor

Bowie, MD ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Python Tutor

Laurel, MD ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Python Tutor

College Park, MD ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Showing results 41-60

Machine Learning Teaching information

See Washington salary details

$26.1K

$60.6K

$112.7K

How much do machine learning teaching jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning teaching in Washington is $60,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $68,000.00 per year, depending on experience, location, and employer.

What is machine learning teaching?

A Machine Learning Teaching job involves educating students or professionals about machine learning concepts, algorithms, and applications. Responsibilities may include designing curricula, delivering lectures, conducting hands-on coding sessions, and mentoring learners. These roles exist in universities, online education platforms, and corporate training programs. Strong knowledge of machine learning frameworks, programming (e.g., Python, TensorFlow, PyTorch), and effective teaching skills are essential for success.

What are the typical responsibilities of machine learning teaching?

Machine Learning Teaching professionals are responsible for designing and delivering lessons on core machine learning principles, guiding students through practical projects, and assessing their progress. They may create course materials, conduct lectures and labs, and offer mentorship to students on capstone or research projects. Collaboration with other faculty or industry experts is common for curriculum updates and staying current with advancements in the field. Additionally, they often provide feedback, support diverse learners, and help students connect theory with real-world applications, ensuring a comprehensive educational experience.

What are the key skills and qualifications needed to thrive in machine learning teaching?

To thrive in a Machine Learning Teaching role, you need in-depth knowledge of machine learning concepts, proficiency with programming languages like Python or R, and an advanced degree in computer science or a related field. Experience with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and familiarity with curriculum development and teaching technologies are typically required. Strong communication, patience, and the ability to clearly explain complex topics make educators especially effective. These skills ensure students gain practical expertise and solid theoretical foundations, preparing them for real-world machine learning careers.

What are the most commonly searched types of Machine Learning Teaching jobs in Washington?

The most popular types of Machine Learning Teaching jobs in Washington are:

What are popular job titles related to Machine Learning Teaching jobs in Washington?

For Machine Learning Teaching jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching jobs in Washington look for?

The top searched job categories for Machine Learning Teaching jobs in Washington are:

Infographic showing various Machine Learning Teaching job openings in Washington as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,566 per year, or $29.1 per hour.

AI/ML Instructor & Curriculum Developer

Annapolis Junction, MD โ€ข On-site

IntelliGenesis
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 days ago


Key responsibilities

  • Deliver instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.

  • Design and develop AI learning experiences, including labs, workshops, practical exercises, and certification programs.

  • Evaluate training effectiveness and improve course content and learner outcomes.


Job description

*This role offers a hybrid work model, with both in-office and remote work.*
Help Build the AI Workforce of the Future
Artificial Intelligence is transforming every aspect of national security, but technology alone is not enough. Success depends on developing a workforce capable of understanding, applying, governing, and operationalizing AI in mission environments.
IntelliGenesis is seeking an experienced AI/ML Instructor & Curriculum Developer to help design and deliver next-generation AI education programs supporting government and national security organizations.
 
This role combines technical expertise, instruction, curriculum development, and innovation. You will work alongside AI researchers, engineers, mission operators, and instructional designers to create learning experiences that prepare technical professionals, analysts, managers, and leaders to succeed in an AI-enabled future.
 
Unlike traditional training roles, you will have access to IntelliGenesis' advanced AI research environment, including our 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, and ongoing applied AI initiatives supporting real-world mission challenges.
 
What You'll Do
  • Deliver engaging instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.
  • Design and develop innovative AI 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 AI
    • Large Language Models (LLMs)
    • Agentic AI
    • Machine Learning
    • Deep Learning
    • Data Science
    • MLOps
    • AI Governance and Responsible AI
    • AI Security and Risk Management
       
  • Create hands-on exercises using modern AI tools, frameworks, and datasets.
  • Collaborate with AI 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 AI transformation efforts across government organizations.
  • Participate in pilot programs, demonstrations, workshops, and strategic AI education initiatives.
     
Why IntelliGenesis?
At IntelliGenesis, you won't simply teach AI; you'll help shape how AI is understood and adopted across the national security community.
 
You'll have opportunities to:
  • Access our 8,000-square-foot IG Labs innovation facility.
  • Collaborate with AI researchers, engineers, and mission experts.
  • Work with advanced NVIDIA computing environments and AI development platforms.
  • Explore emerging technologies including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and autonomous systems.
  • Influence AI certifications, workforce development pathways, and future training programs.
  • Contribute to real-world AI initiatives supporting government missions.
     
Required Qualifications:
  • Must be a U.S. Citizen.
  • Active TS/SCI clearance with polygraph.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Education, or related discipline.
  • 6+ years of combined technical experience in AI/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 AI and machine learning concepts, tools, and frameworks
  • Familiarity with a variety of AI subjects including Generative AI, Large Language Models, Agentic AI, MLOps, Responsible AI, and AI governance.
Desired Qualifications:
  • Master's degree or PhD in AI, 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 AI, cloud computing, data science, or technical instruction.
Join us in helping build the AI-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.

_____________________________________________________________________________________________________

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.

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