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Intern Computer Vision Deep Learning Engineer Jobs in Alabama

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 Alabama?

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

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

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

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

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

What cities in Alabama are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in Alabama with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you

Computer Vision Engineer

Huntsville, AL • On-site

Ingenix Technologies LLC
See more jobs at Ingenix Technologies LLCexternal

$100 - $125/hr

Other

Posted 7 days ago

Job description

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Develop computer vision and spatial AI capabilities for defense training and simulation systems. You'll work on object detection, scene understanding, spatial registration, and model analysis to help software understand real or synthetic environments.

What you’ll do
  • Work with image, video, point cloud, mesh, RGB-D, LiDAR, or synthetic data depending on project needs
  • Train, evaluate, and refine machine learning models for perception and spatial understanding tasks
  • Build data processing pipelines for collecting, cleaning, labeling, and evaluating visual datasets
  • Integrate computer vision capabilities into simulation, XR, or training software systems
  • Communicate model performance, limitations, and technical tradeoffs to engineering teammates and stakeholders
What we’re looking for
  • Experience developing computer vision or machine learning solutions in Python
  • Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar tools
  • Understanding of object detection, segmentation, feature extraction, camera geometry, or 3D perception concepts
  • Ability to evaluate model performance and work through real-world data limitations
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with 3D object detection, scene understanding, point clouds, LiDAR, RGB-D, or mesh/model analysis
  • Experience with OpenCV, ROS, CUDA, synthetic data generation, or simulation-based datasets
  • Familiarity with XR, robotics, geospatial, digital twin, or defense training applications
  • Experience deploying models into production software or edge computing environments
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