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Intern Computer Vision Deep Learning Engineer Jobs in Williamston, SC

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Machine Learning Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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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 Sep 1, 2026, the average hourly pay for intern computer vision deep learning engineer in Williamston, SC is $12.81, according to ZipRecruiter salary data. Most workers in this role earn between $10.87 and $14.47 per hour, depending on experience, location, and employer.

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.

Intern Computer Vision Deep Learning Engineer jobs near you

Innovation and Research Intern (Spring 2027)

BMW

Greenville, SC • On-site

$14 - $18.75/hr

Other

Re-posted yesterday

Job description

A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team.

Description:

  • This is a position with the IT Tech Office that focuses on bringing innovations to different areas of BMW Group.
  • The Tech Office examines topics in the areas of artificial intelligence (such as machine/deep learning / genetic algorithms / generative AI / large language models), data science, Metaverse (AR/VR/Game Engines), green IT and quantum computing.
  • Work in an area of innovation focusing on one to two projects for the duration of the internship. Projects will have a mentor in the IT Tech Office.
  • Analyze problems and implement solutions that can be proven to work. Continually refine and improve solutions.
  • Share in team meetings current progress and challenges.
  • Design and test algorithms using Python/Javascript for local systems, GPU-based systems, and cloud solutions (AWS/Azure).
  • Update and track tasks with tools such as JIRA and Confluence.
  • Be open to learning new tools and technologies used by the IT Tech Office for data analytics (e.g. Grafana, OpenTelemetry, AWS).
  • Projects are dependent upon current tasks of the IT Tech Office as well as background and willingness of intern to learn new technologies and methods.
  • Typical projects include deep learning classification / segmentation, data analytics using Python, Augmented and Virtual Reality application development, game design in Unity and Unreal Engine, experimenting with new IoT devices and design of algorithms suitable for next generation computers (e.g. quantum, neuromorphic, optical).

Qualifications:

  • Possess a minimum cumulative GPA of 3.0 (not just in major).
  • Have enrolled student status at an accredited four-year college or university in the United States.
  • Completed at least 30 credit hours at time of application.
  • Ability to work full-time on-site (40 hours / week).
  • Transfer students must have a GPA from current university.
  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
  • Complete and pass a substance abuse test before the work term.
  • THE WORK TERM DATES ARE January 11th - May 14th, 2027.

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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