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Mid Level Machine Learning Teaching Jobs in Washington

IC-CAP LLC

Data Modeler Mid-Level 112-012

Chantilly, VA · On-site

$56 - $72.75/hr

Mid-level Data Modelers conduct data modeling activities in support of business stakeholders ... machine learning, etc.) * Supports developing models of NGAs architectures, requirements, and ...

Tulk LLC

Foundations SME Mid

Fort Belvoir, VA · On-site

$102K - $130K/yr

A Mid-level Foundations SME shall be able to build upon the knowledge taught at the introductory GEOINT Tradecraft learning level (1000), in order to effectively handle fundamental (2000) GEOINT ...

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Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
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 Mid Level Machine Learning Teaching jobs in Washington? For Mid Level Machine Learning Teaching jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in Washington look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Washington are:
What cities in Washington are hiring for Mid Level Machine Learning Teaching jobs? Cities in Washington with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Mid-Level Software Engineer

Riverside Research Institute

Fairfax, VA

$90K - $180K/yr

Full-time

Re-posted 7 days ago

Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address complex challenges within defense applications. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and defense analysts, to enhance the capabilities of our systems and support mission-critical operations.

This position is located in our Fairfax, VA office or our Lexington, MA office.


- Develop, implement, and apply machine learning / AI algorithms

- Design, implement, and optimize machine learning/AI models for various defense applications, including data analysis, pattern recognition, and predictive modeling.

- Collaborate with data scientists to preprocess and analyze large datasets, ensuring high-quality training data for model development.

- Develop scalable software solutions that integrate machine learning/AI algorithms into existing systems and workflows.

- Conduct experiments to evaluate and refine model performance, ensuring reliability and accuracy.

- Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and documentation.

- Stay current with advancements in machine learning/AI technologies and methodologies, applying best practices to enhance our projects.

- Contribute to the preparation of technical reports and presentations for stakeholders.


Required Qualifications:

- Current Secret clearance, ability to obtain a TS/SCI

- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

- 8-10 years of experience in software engineering with a focus on machine learning/AI and data analysis.

- Proficient in programming languages such as Python, Java, or C++, with experience in machine learning/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

- Strong understanding of machine learning/AI algorithms, statistical analysis, and data mining techniques.

- Experience with data management tools and frameworks

- Familiarity with software development methodologies (Agile, Scrum) and version control systems (Git).

- Familiarity with cloud computing platforms (e.g., AWS, Azure) and deployment of machine learning/AI models in cloud environments.

- Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

- Current TS/SCI clearance

- Experience in defense or government contracting environments.

- Knowledge of cybersecurity principles and practices.

- Familiarity with common AI Agent SDKs (LangGraph, OpenAI SDK, etc.) and related protocols (e.g., MCP, A2A)

- Familiarity with running language models locally (e.g., using HuggingFace transformers, ollama, LM Studio, llama.cpp, etc.)


$90,000 - $180,000 This represents the typical compensation range for this position based on experience, location and other factors.
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veterans status or any other status legally protected by applicable federal, state, and local law.

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