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Machine Learning Research Intern Jobs in Frederick, MD

Merck Group

Data Scientist

Rockville, MD · On-site

$95K - $142K/yr

  • Medical

  • Retirement

  • PTO

Design, build, and refine machine learning and artificial intelligence models for marketing, operation, R&D, and supply chain optimization. * Work closely with business experts, lab operation ...

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

... research and biomedical informatics. They are seeking an AI/ML Scientist/Developer to develop ... Responsibilities : • The successful candidate will design and implement machine learning models ...

Dewberry

Site/Civil Engineering Intern

Frederick, MD · On-site

$18.75 - $29.75/hr

May also conduct code research, write specifications, and obtain permitting. Required Skills ... Learning about our services, projects, and clients. * Professional development workshops, including ...

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Machine Learning Research Intern information

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$25.4K

$42.3K

$87.5K

How much do machine learning research intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning research intern in Frederick, MD is $42,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

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Assistant Research Scientist (PREP0003750)

Johns Hopkins University

Gaithersburg, MD • On-site

Full-time

Re-posted 10 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title:
Artificial Intelligence Data Researcher
The work will entail:
The applicant that is selected for this position will be part of a team of engineers and researchers conducting research and development (R&D) activities focused on accelerating the development of artificial intelligence communications solutions for first responders.
Key responsibilities will include but are not limited to:
• Research and document public safety AI communications solutions and the datasets that are used to train and test them
• Research, evaluate, and document available AI tools and applications that are the best fit for public safety AI communications solutions
• Document the AI dataset curation process and determine the best target public safety datasets and the dataset enhancement options
• Investigate AI standards organizations and applicability to public safety AI communications solutions and the datasets, and identify opportunities for participation
• Participate in public safety artificial intelligence working groups, standards meetings, and public safety collaborators and curate shared information from collaborators on their use/witness of AI for public safety communications use cases, challenges, and technological gaps
• Evaluate future public safety artificial intelligence use cases and what datasets could be used to train and test them, as well as identifying technology challenges and gaps to address
• Assist with designing and hosting a Public Safety AI Workshop to gather feedback on future public safety artificial intelligence use cases and what datasets could be used to train and test them
• Inform a public safety AI enhancement roadmap
Qualifications
• A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake)
• Knowledge of data structures, formats, and AI data curation processes,
• Experience with identifying data needs for AI uses cases, and evaluating dataset quality and representativeness
• Knowledge of software engineering for AI applications
• Knowledge of mathematical probability and statistics and optimization methods
• Knowledge of machine learning including supervised and unsupervised learning, deep learning, and model evaluation
• Knowledge of dataset biases, and labeling issues
• Knowledge of AI model building
• Knowledge of translating operational needs into solvable AI problems
• US Citizens Preferred
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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