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Research Assistant Deep Learning Jobs in Georgia

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

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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 Georgia?

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

What job categories do people searching Research Assistant Deep Learning jobs in Georgia look for?

The top searched job categories for Research Assistant Deep Learning jobs in Georgia are:

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

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

Research Assistant Deep Learning jobs near you

Computer Vision/Deep Learning Scientist

Visionaire Partners

Atlanta, GA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Job description

Computer Vision/Deep Learning Scientist

Location: Midtown Atlanta, GA (Hybrid: 2 days in-office; fully remote available for candidates outside the metro area)

Schedule: 6-Month Contract

We are seeking a Computer Vision/Deep Learning Scientist to collaborate across multi-functional business units, translating complex enterprise challenges into high-impact solutions. You will design, build, and deploy custom algorithms while managing the complete lifecycle from initial concepts through post-production monitoring.

Responsibilities:

  • Design, evaluate, and deploy production-ready computer vision and deep learning models.

  • Conduct end-to-end model development: requirements gathering, data evaluation, testing, and lifecycle maintenance.

  • Execute advanced techniques including image segmentation, augmentation, localization, object detection, and classification.

  • Run parallelized models on dedicated GPU clusters.

  • Mentor junior team members, guide targeted research initiatives, and assist with candidate interviews.

  • Present technical findings clearly to cross-functional partners and leadership.

Requirements:

  • 1 3+ years of relevant industry experience.

  • Strong proficiency in Python alongside frameworks like PyTorch, TensorFlow, Keras, MXNet, and OpenCV.

  • Familiarity with modern CNN architectures (e.g., ResNet, VGG16, MobileNet) and traditional image processing (skimage).

  • Degree in CS, Math, EE, Statistics, or a related field.

  • Must be authorized to work in the U.S. without sponsorship.

Offered through Visionaire Partners: Full-time W2 contractors access a comprehensive benefits package for themselves and dependents (including domestic partners). Options feature a 401(k) with up to 4% match, medical, dental, vision, life, disability, critical illness, hospital indemnity, accident coverage, and Medical/Dependent Care FSAs. On-site perks include a modern office near MARTA with covered parking and premium amenities

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