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Intern Computer Vision Deep Learning Engineer Jobs in Georgia

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... applications of computer vision Must Have Experience * Experience with deep learning and ...

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Intern Computer Vision Deep Learning Engineer information

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Georgia?

The most popular types of Computer Vision Deep Learning Engineer jobs in Georgia are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Georgia?

For Intern Computer Vision Deep Learning Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Georgia look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Georgia are:

Intern Computer Vision Deep Learning Engineer jobs near you

Computer Vision/Deep Learning Scientist

Atlanta, GA • On-site

Visionaire Partners
11 - 50 employees
Learn more about Visionaire Partnersexternal

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

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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