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Research Assistant Deep Learning Jobs (NOW HIRING)

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

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

Howard

Research Assistant

Seeley, CA · On-site

$24/hr

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

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... at least one deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA

$19 - $65/hr

... at least one deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

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Research Assistant Deep Learning information

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

As of Jul 12, 2026, the average hourly pay for research assistant deep learning 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 is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What are Research Assistant Deep Learning jobs?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What are the key skills and qualifications needed to thrive as a Research Assistant in Deep Learning, and why are they important?

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What types of projects and daily tasks can a Research Assistant in Deep Learning expect to work on?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.
More about Research Assistant Deep Learning jobs
What cities are hiring for Research Assistant Deep Learning jobs? Cities with the most Research Assistant Deep Learning job openings:
What states have the most Research Assistant Deep Learning jobs? States with the most job openings for Research Assistant Deep Learning jobs include:
What job categories do people searching Research Assistant Deep Learning jobs look for? The top searched job categories for Research Assistant Deep Learning jobs are:
Research Assistant Deep Learning jobs near you
Infographic showing various Research Assistant Deep Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% 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

Re-posted 12 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

134th of 552 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

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