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Research Assistant Machine Learning Jobs in Washington

The Research Assistant will contribute to interdisciplinary projects within the Department of ... Develop, train, and evaluate machine learning and deep learning models . * Review scientific ...

Conduct research to identify new approaches and methods for machine learning and AI. * Stay updated with the latest trends and advancements in machine learning and AI. * Document processes, codes ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

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Research Assistant Machine Learning information

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$9

$24

$35

How much do research assistant machine learning jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for research assistant machine learning in Washington is $24.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.85 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a Research Assistant in Machine Learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive in the Research Assistant Machine Learning position, and why are they important?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Washington? For Research Assistant Machine Learning jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Research Assistant Machine Learning jobs? Cities in Washington with the most Research Assistant Machine Learning job openings:
Research Assistant

Research Assistant

Howard University

Washington, DC • On-site

$24/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Howard University rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 536 rated colleges and universities


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
The Research Assistant will contribute to interdisciplinary projects within the Department of Internal Medicine at the Howard University College of Medicine, focusing on Artificial Intelligence (AI), Machine Learning (ML), Computational Medicine, and Data Analytics. This position supports ongoing research aimed at developing predictive, diagnostic, and intervention models that advance healthcare delivery, improve patient outcomes, and address complex challenges in precision and population health.
The Research Assistant will work closely with the Principal Investigator and research collaborators to perform data-driven analysis, computational modeling, and literature reviews. This role provides valuable hands-on experience for students interested in research at the intersection of AI and medicine.
Duties and Responsibilities:
  • Assist with data collection, curation, preprocessing, and integration from diverse biomedical and clinical sources.
  • Conduct exploratory data analysis, data visualization, and feature engineering.
  • Develop, train, and evaluate machine learning and deep learning models.
  • Review scientific literature and summarize findings to support ongoing research projects.
  • Contribute to technical documentation, manuscripts, and progress reports.
  • Collaborate effectively with interdisciplinary teams across research and clinical domains.
  • Maintain accurate records of research workflows, results, and code repositories.

Minimum Qualifications:
  • Current enrollment in a Bachelor's, Master's, or Ph.D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field.
  • Must be at least a third-year undergraduate student (Junior or Senior status) or higher.
  • Demonstrated proficiency in Python and related libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with data analysis and visualization using tools such as Matplotlib, Seaborn, or Plotly.
  • Foundational understanding of AI, machine learning, and data science concepts.
  • Strong analytical thinking, problem-solving, and written communication skills.
  • Ability to work independently and collaboratively in a research environment.

Preferred Qualifications:
  • Experience working with biomedical, clinical, or public health datasets.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, or Microsoft Azure).
  • Experience with version control systems (e.g., Git/GitHub).
  • Prior research or academic publication experience.

Compliance Salary Range Disclosure
$24.00 per hour