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Intern Computer Vision Deep Learning Engineer Jobs in Illinois

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

... Computer Vision & Perception * Develop deep learning pipelines for object detection, segmentation ... Collaborate with robotics engineers on sensor selection, placement, and calibration * Support ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 Illinois?

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

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

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

Computer Vision Scientist

Redfish Recruiting

Northbrook, IL • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Computer Vision Scientist
Chicago, IL
Our Client is seeking a talented computer vision expert who is passionate about using their skills to help reshape the gaming industry of tomorrow. The ideal candidate should have deep hands-on knowledge of traditional computer vision and deep learning to design and build AI platforms and products.
Responsibilities
-Work collaboratively with product and engineering teams to turn Computer Vision concepts into valuable products
-Research & develop state of the art vision algorithms
-Design, architecture, & develop our Client's AI platform & devices
Qualifications
-M.S. or Ph.D. in computer science, or related disciplines.
-Strong analytical, problem-solving, and critical thinking skills
-Highly self-motivated and passionate with assigned projects, and a self-starter and taking a full ownership with responsibilities
-3+ years algorithm research / development experience in the areas of computer vision, machine learning, and related fields with proven track records, such as strong publications, published demos or software applications
-Expertise with traditional CV approaches (e.g., OpenCV), Classification, detection, and segmentation approaches
-Ability to implement related academic literature in computer vision and deep learning
-Strong knowledge of deep learning frameworks like Tensorflow, Pytorch, Caffe, Yolo etc.
-Experience building, testing, and deploying computer vision based solutions
-Expertise with Python and/or C/C++, Linux, Cloud, Git
-Excellent verbal and written communication skills
-Excel under high pressure with time critical projects
-Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs is a plus
Perks
-Flexible working hours
-H-1B Sponsorship