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Machine Learning Teaching Jobs in Washington (NOW HIRING)

Seekr

Senior Data Scientist

Reston, VA · On-site

Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required About the Company: Seekr is a leader in explainable and ...

Howard University

Assistant Professor

Washington, DC · On-site

... Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Washington, DC · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Rockville, MD · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$40/hr

... machine learning implementation. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet ...

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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 Jun 5, 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 a Machine Learning Teaching job?

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 key skills and qualifications needed to thrive in the Machine Learning Teaching position, and why are they important?

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 typical responsibilities of a Machine Learning Teaching professional?

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.
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Machine Learning Teaching jobs near you
Infographic showing various Machine Learning Teaching job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 55% Full Time, 43% Part Time, and 1% Contract. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $60,566 per year, or $29.1 per hour.
Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

NorthEastern

Arlington, VA

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About the Opportunity

The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

Qualified candidates must be prepared to work with global student populations.

The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.

Instructional areas include, but are not limited to:

  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.

Qualifications

Minimum qualifications:

  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:

  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials

Applicants should submit materials including a cover letter and vitae.

Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.

Please direct questions to John Wilder at j.wilder@northeastern.edu.

Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,569.00.

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