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Machine Learning Teaching Jobs in Washington (NOW HIRING)

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 ...

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 ...

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

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

Data Science Tutor

Alexandria, VA · Remote

$18 - $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 ...

Data Science Tutor

Fairfax, VA · Remote

$18 - $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 ...

Data Science Tutor

Rockville, MD · Remote

$18 - $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 ...

Data Science Tutor

Leesburg, VA · Remote

$18 - $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 ...

Data Science Tutor

Washington, DC · Remote

$18 - $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 ...

Data Science Tutor

Laurel, MD · Remote

$18 - $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 ...

Data Science Tutor

Bowie, MD · Remote

$18 - $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 ...

Showing results 21-40

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 Aug 20, 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 August 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.

Senior Data Scientist

Seekr

Reston, VA • On-site

Full-time

Re-posted 20 days ago


Job description

About the Opportunity: 

We are looking for talented Data Scientiststo join our team and deliver generative and predictive capabilities for US Government customers.  The right candidate will work on the design, development, and deployment of AI/ML capabilities for various applications implementing generative AI and integrations with predictive capabilities (agentic workflows, LLM fine-tuning).  Additionally, this person will be working on quick proof-of-concept solutions but also building in a generalized fashion to support longer term implementation.

From your first day, you will make a valuable contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a meaningful impact for the US while designing and developing cutting-edge, novel capabilities.

Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred. 

Duties and Responsibilities: 

  • Design, implement, and deploy machine learning algorithms for USG customers 
  • Design and develop prototype solutions incorporating both generative and predictive capabilities
  • Serve as the subject matter expert on cutting-edge generative techniques to enhance the government team's ability to produce meaningful insights
  • Design, implement, and manage machine learning data pipelines
  • Conduct research and development on agentic integration of capabilities and application to USG use cases
  • Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language
  • Manage machine learning algorithm lifecycle
  • Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements
  • Coordinate data collection and annotation efforts for supervised training efforts
  • Design and implement tests for machine learning algorithm effectiveness and performance monitoring
  • Research and development on cutting-edge machine learning technologies

Qualifications and Skills: 

  • Graduate degree in Computer Science preferred with a strong background in machine learning required
  • Strong problem-solving abilities, solid background in algorithms and data structures required 
  • Comfortable interacting with customers and subject matter experts, translating complex AI/ML concepts into practical language and impacts
  • Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, various embedding models
  • Strong programming skills in Python required. Experience in java and html a plus. 
  • Experience working with or in the DoD, US Intelligence Community, or US Federal Civilian agencies
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required 
  • Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex,pydantic Transformers
  • Familiarity with common APIs including OpenAI, GraphQL, FastAPI
  • Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required