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Artificial Intelligence Machine Learning Engineer Jobs in Frederick, MD

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Artificial Intelligence Machine Learning Engineer information

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$31.3K

$128K

$192.4K

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

As of Aug 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in Frederick, MD is $128,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,100.00 per year, depending on experience, location, and employer.

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 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 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 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 Frederick, MD?

For Artificial Intelligence Machine Learning Engineer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Frederick, MD look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Frederick, MD with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $128,031 per year, or $61.6 per hour.

AI Standards Coordinator, Interdisciplinary ZP-0101-IV/V ZP-1550-IV/V

Gaithersburg, MD

Sensor Science Division | NIST
See more jobs at Sensor Science Division | NISTexternal

$121K/yr

Full-time

Posted 11 days ago

Job description

NIST is looking for an expert to lead strategic engagement with domestic and international standards organizations on AI and machine learning (AI/ML) standardization projects. You will coordinate technical contributions, build partnerships, and serve as an authoritative voice to help steer consensus on rigorous sociotechnical standards for AI concepts, methods, measurement, and risk management.

Qualifications:For the Computer Scientist ZP-1550
Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions.
For the ZP-1550-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement AI/ML tools.
  • Experience contributing to technical publications or guidelines about good practices for artificial intelligence, machine learning, or other computer science or information technology fields, whether from a computational or behavioral and social sciences perspective.
  • Experience with or openness to participating in consensus-based standards development processes, scientific committees seeking consensus, or multistakeholder technical fora.
For the ZP-1550-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience leading technical research or development work to study or implement AI/ML tools.
  • Experience serving as a primary technical leader on technical publications or guidelines about good practices for artificial intelligence, machine learning, or other computer science or information technology fields, whether from a computational or behavioral and social sciences perspective.
  • Experience representing an organization, defending technical contributions, or leading groups within consensus-based standards development processes, scientific committees seeking consensus, or multistakeholder technical fora.

For the Social Scientist ZP-0101
Basic Requirements:
Degree: behavioral or social science; or related disciplines appropriate to the position.
OR
A combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
OR
Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
For the ZP-0101-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement AI/ML tools.
  • Experience contributing to technical publications or guidelines about good practices for artificial intelligence, machine learning, or other computer science or information technology fields, whether from a computational or behavioral and social sciences perspective.
  • Experience with or openness to participating in consensus-based standards development processes, scientific committees seeking consensus, or multistakeholder technical fora.
For the ZP-0101-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience leading technical research or development work to study or implement AI/ML tools.
  • Experience serving as a primary technical leader on technical publications or guidelines about good practices for artificial intelligence, machine learning, or other computer science or information technology fields, whether from a computational or behavioral and social sciences perspective.
  • Experience representing an organization, defending technical contributions, or leading groups within consensus-based standards development processes, scientific committees seeking consensus, or multistakeholder technical fora.

Experience includes paid and unpaid experience, including volunteer work through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook.
If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:Social Scientist, ZP-0101: This position allows applicants to qualify with education. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Computer Scientist, ZP-1550: This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.Employment Type: OTHER

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