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Research Assistant Deep Learning Jobs in Florida

Research Assistant 2

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 2 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant 2

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 2 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Role Summary As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm. You will ...

... while learning the skills necessary to be a Clinical Research Coordinator. This position has ... Patient Recruitment * Assist with preparation of outreach materials * Identify potential ...

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... while learning the skills necessary to be a Clinical Research Coordinator. This position has ...

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... while learning the skills necessary to be a Clinical Research Coordinator. This position has ...

Showing results 41-60

Research Assistant Deep Learning information

What is a research assistant deep learning?

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 does a research assistant deep learning do?

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.

What are the key skills and qualifications needed to thrive as a research assistant deep learning?

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 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 popular job titles related to Research Assistant Deep Learning jobs in Florida?

For Research Assistant Deep Learning jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Research Assistant Deep Learning jobs?

Cities in Florida with the most Research Assistant Deep Learning job openings:

Infographic showing various Research Assistant Deep Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Assistant / Plasma Physics

AMPERA INC

Palm Beach Gardens, FL • On-site

$18.25 - $25/hr

Full-time

Re-posted yesterday


Job description

Research Assistant – Plasma Physics

Position Summary

Ampera is seeking a motivated full-time Research Assistant to support work in plasma physics, computational modeling, and related areas within the Department of Nuclear Engineering. This role is well suited for an early-career researcher with a math, physics, engineering, or other hard science background who is comfortable working with technical material, learning new tools, and contributing carefully to ongoing research projects.
Candidates who have not yet graduated are welcome to apply, provided they are able to commit to full-time work during the school year. Students should be prepared to arrange their academic schedule accordingly, such as by taking time away from coursework or otherwise ensuring full-time availability.
The Research Assistant will help with literature review, data collection and analysis, model setup, simulation workflows, technical documentation, and preparation of research outputs. The specific project assignment will depend on the candidate’s background and departmental research needs.
Key Responsibilities
• Support research activities in plasma physics, fusion energy, low-temperature plasmas, plasma-material interactions, computational plasma modeling, diagnostics, or related technical areas.
• Conduct literature reviews and summarize findings for faculty, staff, and research teams.
• Assist with computational modeling, simulation setup, data processing, and results analysis.
• Help prepare figures, tables, technical notes, presentations, and draft sections of reports or manuscripts.
• Maintain organized research records, including assumptions, inputs, scripts, results, and references.
• Participate in regular research meetings and communicate progress, blockers, and findings clearly.
• Follow all applicable laboratory, computational, export control, and data handling procedures.
Required Qualifications
• Current enrollment in, or recent completion of, a degree program in engineering physics, nuclear engineering, physics, mechanical engineering, electrical engineering, materials science, applied mathematics, computer science, or another math, physics, engineering, or hard science field.
• Strong analytical and quantitative skills.
• Demonstrated first-principles thinking: the ability to break problems down to fundamental physics and reason up from there, rather than relying on convention or analogy.
• Ability to read and synthesize technical papers, reports, and documentation.
• Clear written and verbal communication skills.
• Careful attention to detail and willingness to document work thoroughly.
• Ability to work independently while staying aligned with faculty and project guidance.
Preferred Qualifications
• Coursework or research experience in plasma physics, fusion energy, electromagnetics, fluid dynamics, kinetic theory, numerical methods, scientific computing, or computational science.
• Experience with one or more programming or scripting languages, such as Python, MATLAB, C/C++, Fortran, Julia, or similar.
• Familiarity with scientific computing workflows, version control, Linux command-line tools, or high-performance computing environments.
• Experience with plasma simulation tools, particle-in-cell methods, magnetohydrodynamics, fluid plasma models, kinetic modeling, Multiphysics simulation, uncertainty quantification, diagnostics, or data analysis.
• Prior research experience, including undergraduate research, internship experience, capstone projects, or publication/presentation contributions.
Appointment Details
This is a full-time, ongoing research assistant position during the school year.
Application Materials 
Applicants should submit:
• Resume or CV
• Brief statement of interest describing relevant background and research interests
• Unofficial transcript, if applicable
• Names and contact information for one to two references, if requested
• Optional: writing sample, code sample, poster, publication, or project portfolio