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Ml Research Assistant Jobs (NOW HIRING)

The Research Assistant will contribute to interdisciplinary projects within the Department of ... ML) , Computational Medicine , and Data Analytics . This position supports ongoing research aimed ...

The Research Assistant will contribute to interdisciplinary projects within the Department of ... ML) , Computational Medicine , and Data Analytics . This position supports ongoing research aimed ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

Senior ML/Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

Sr. Staff ML Research Engineer As a Sr. Staff ML Research Engineer on the Machine Learning Safety ... driver assist systems, and robot safety. * Experience with the full lifecycle of deep learning ...

Research Assistant

Washington, DC

$21.75 - $30/hr

... AI/ML Laboratory and related Howard University College of Medicine initiatives by organizing ... The employee may provide task-based guidance to students, trainees, or junior research assistants ...

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

... AI/ML Laboratory and related Howard University College of Medicine initiatives by organizing ... The employee may provide task-based guidance to students, trainees, or junior research assistants ...

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Ml Research Assistant information

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How much do ml research assistant jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for ml research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What are some common challenges faced by ML Research Assistants when collaborating with senior researchers and engineers?

ML Research Assistants often face the challenge of bridging the gap between theoretical research and practical implementation, especially when collaborating with experienced researchers and engineers. Communication can be complex, as they may need to translate high-level research goals into experimental setups or prototype code. Additionally, ML Research Assistants must stay adaptable, as project priorities can shift quickly based on new findings or feedback. Building strong documentation and proactive communication skills are key to ensuring seamless collaboration within multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an ML Research Assistant, and why are they important?

To thrive as an ML Research Assistant, you need a solid background in mathematics, programming (Python, R), and a foundational understanding of machine learning concepts, often demonstrated by a relevant degree or coursework in computer science or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret research findings and collaborate within a team. These skills are vital to effectively support complex ML projects, contribute to innovative research, and ensure accurate, reproducible results.

What are ML Research Assistants?

ML Research Assistants are individuals who support machine learning research projects by assisting with tasks like data collection and preprocessing, literature reviews, experimental setup, model training, and result analysis. They often collaborate with researchers, graduate students, and professors to advance the development and understanding of machine learning algorithms. ML Research Assistants may also help write research papers, prepare presentations, and maintain codebases. This role is common in academic, research, and industry settings, and serves as valuable experience for those interested in pursuing advanced studies or careers in artificial intelligence.
More about Ml Research Assistant jobs
What cities are hiring for Ml Research Assistant jobs? Cities with the most Ml Research Assistant job openings:
What are the most commonly searched types of Ml Research jobs? The most popular types of Ml Research jobs are:
What states have the most Ml Research Assistant jobs? States with the most job openings for Ml Research Assistant jobs include:
Infographic showing various Ml Research Assistant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.
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