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Artificial Intelligence Machine Learning Engineer Jobs in Silver Spring, MD

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

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Artificial Intelligence Machine Learning Engineer information

See Silver Spring, MD salary details

$32.6K

$133.1K

$200K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for artificial intelligence machine learning engineer in Silver Spring, MD is $133,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $160,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Silver Spring, MD? For Artificial Intelligence Machine Learning Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Silver Spring, MD look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Silver Spring, MD with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Silver Spring, MD as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $133,119 per year, or $64 per hour.
Artificial Intelligence/Machine Learning (AI/ML) Engineer

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Redhorse Corporation

Falls Church, VA

Full-time

Posted 29 days ago


Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse transforms how the government uses data and technology. We are seeking a dedicated Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our team and contribute to the forefront of AI and deep learning within the Department of War (DoW). Working closely with the Chief Digital and Artificial Intelligence Office (CDAO), you will design, build, and integrate AI/ML solutions focused on autonomous warfare, making a significant impact on national security.

Key responsibilities
  • AI/ML Development: Support the implementation of CDAO’s Algorithmic Warfare (AW) AI scaffolding project, including developing a process/structure for DoW teams to develop and test their own AI/ML models. Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Stay current with the latest AI/ML research and technologies, assessing their potential application in government projects.
  • Autonomous Warfare: Support the development and integration of AI/ML solutions with existing government IT infrastructure and systems, focusing on improving autonomous warfare capabilities.
  • Collaboration: Contribute to cross-functional team efforts on CDAO’s large language model task force. Participate in code reviews, testing, and debugging to ensure high-quality product delivery. Communicate complex AI/ML concepts and results clearly to non-technical stakeholders.
  • Architecture and Design: Prepare technical documentation, including system design, development reports, and user manuals.
  • Standards Compliance: Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Apply National Institute of Standards and Technology (NIST) guidelines for DoW information assurance, including NIST 800-37 and NIST 800-53.
Required experience/clearance
  • US citizenship with an active Department of Defense (DoW) Top Secret (TS) security clearance and current access to Sensitive Compartmented Information (SCI) (TS/SCI) is required.
  • Bachelor’s degree in engineering and 8 years of related experience, or a combination of advanced degree/experience.
  • Experience in system development/configuration, integration, and support efforts. Knowledge and execution with DoW systems is highly desired.
Desired experience
  • Experience in autonomous warfare development.
  • Extensive knowledge of Cloud architecture, application, and integration (e.g., DataBricks, AWS, Azure, GCP).
  • Proven experience with software development (in languages such as Python) and/or development of artificial intelligence/machine learning software.
  • Experience with large language models (LLMs) and natural language processing (NLP).
  • Experience with containerization technologies (Docker, Kubernetes).
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
 
Accommodations:
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
 
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.