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Intern Computer Vision Deep Learning Engineer Jobs in Toledo, OH

NSG Group

R&D Intern Spring 2027

Northwood, OH · On-site

$15.25 - $20.50/hr

In addition, the intern will have a project, chosen based on company needs and intern interests ... Pursuing an associate's or bachelor's degree in chemical engineering, material science, or ...

Buckeye Broadband

BCSN/BCAN Intern

Northwood, OH · On-site

$15.25 - $20.50/hr

Administrative, Programming and Promotional Assistant. Essential Functions * Live Broadcast ... Continuous Learning; Challenges the Status Quo. * Collaborative - Teamwork, Proactive, Knowledge ...

Buckeye Broadband

BCSN/BCAN Intern

Northwood, OH

$15.25 - $20.50/hr

Administrative, Programming and Promotional Assistant. Essential Functions * Live Broadcast ... Continuous Learning; Challenges the Status Quo. * Collaborative - Teamwork, Proactive, Knowledge ...

The University of Toledo

Pharmacy Intern

Toledo, OH · On-site

$16.50 - $20.50/hr

Physical Requirements: 1. Visual acuity of 20/20 or corrected to 20/20 including color vision when ... Computer access is available at most public libraries and at the Office of Human Resources located ...

Pwc

AI Solutions Engineering Delivery Lead

Toledo, OH · On-site

$100K - $132K/yr

As a senior technical leader, you will leverage deep technical specialization, strategic vision ... Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of ...

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Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for intern computer vision deep learning engineer in Toledo, OH is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.94 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Toledo, OH? For Intern Computer Vision Deep Learning Engineer jobs in Toledo, OH, the most frequently searched job titles are:
What cities near Toledo, OH are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near Toledo, OH with the most Intern Computer Vision Deep Learning Engineer job openings:
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R&D Intern Spring 2027

NSG Group

Northwood, OH • On-site

$15.25 - $20.50/hr

Other

Re-posted 11 days ago

Job description

Internship Opportunity At NSG Group

The NSG Group is one of the world's largest manufacturers of glass and glazing products for the architectural, automotive industry and technical glass sectors. Here you can feel confident that your work will make a difference throughout the globe. Being a world leader in glass, we impact millions of people's view of the world each and every day. At our core, we value embracing challenges, respecting others and unleashing their potential.

Join us on our mission to change our surroundings and improve our world!

We are a diverse team that develops and tests bonding systems on automotive glass and performs failure analysis on the same systems. This internship involves preparing and testing samples, primarily in these areas. In addition, the intern will have a project, chosen based on company needs and intern interests, that they will be responsible for planning and executing, with our support.

Primary duties include:

  • Assist with R&D experiments as needed, primarily related to bonding systems
  • Assemble, condition, and test laboratory samples
  • Collate data and write lab reports
  • Participate in large scale experiments (DOEs, etc.) within R&D and validation
  • Keep a detailed lab notebook of all testing performed
  • Enter data into appropriate data systems in a timely fashion
  • Plan and execute intern project
  • Maintain clean, organized lab spaces and assist with sample disposal
  • Log in and dispose of chemicals in accordance with HSE policies
  • Assist with health and safety initiatives, with direction
  • Assist with recycling program and other environmental initiatives as needed

Qualifications required include:

  • Pursuing an associate's or bachelor's degree in chemical engineering, material science, or chemistry
  • Familiar with Microsoft Office 365
  • Self-motivated, flexible individual willing to switch priorities and maintain background tasks between more urgent projects
  • Good observation, organizational and note-taking skills
  • Strong written and verbal communication skills
  • Familiar with engineering math and basic statistics, or willing and able to learn

Qualifications desired include:

  • Currently pursuing a degree in engineering or natural science
  • Interest in chemistry and structure of surfaces

NSG Group/Pilkington is an equal opportunity employer; M/F/D/V encouraged to apply. Qualified candidates will receive consideration without regard to age, race, color, religion, gender, sexual orientation, disability, or national origin. Applicants have the option to confidentially self-identify or not self-identify when applying.

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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