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Intern Computer Vision Deep Learning Engineer Jobs in Williamston, SC

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

Summer Intern

Greenville, SC

$13.50 - $18/hr

Estimating quantities (with CAD when applicable), requesting stone quotes, compiling geotechnical ... Assisting project engineers with preconstruction and project management. ? Assisting with ground ...

Today, organizational programming focuses on humanitarian and disaster response, community ... Commitment to the mission, vision, and values of World Relief * Strong cross-cultural competency ...

Today, organizational programming focuses on humanitarian and disaster response, community ... Commitment to the mission, vision, and values of World Relief * Strong cross-cultural competency ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Electrical Engineer Internship

Anderson, SC · On-site

$17.50 - $23/hr

As a TTI Electrical Engineering Intern, you would work with regular direction and guidance from a ... Exhibit vision and foresight to test the extremes of a design. * Draw concise logical, written ...

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Intern Computer Vision Deep Learning Engineer information

See Williamston, SC salary details

$6

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$18

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

As of Jul 29, 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 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, and why are they important?

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.

Machine Learning Engineer II

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

129th of 486 rated machine equipment manufacturers


Job description

Job Description:
TTI Consumer Power Tools, Inc., has an opening in its Anderson, SC corporate office for a Electrical Machine Learning (ML) Engineer II that will report into the Sr. Director of Engineering. Come join the Engineering team at the most exciting and innovative tool company in the world!
Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY). The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our RYOBI brand is recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.
Your Role On Our Team:
The Electrical ML Engineer II will identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization. This role partners closely with cross-functional teams to translate customer needs into robust, data-driven solutions that can be demonstrated on-tool and matured toward production readiness.
Key responsibilities include framing ML use cases, designing data-collection strategies and ground-truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. The engineer will also help establish and improve team workflows and guidelines covering the end-to-end ML lifecycle-from problem definition through model training, validation, and deployment considerations.
Primary Job Requirements:
  • Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
  • Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
  • Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
  • Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
  • Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
  • Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
  • Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
  • Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
  • Strong technical communication skills and the ability to plan/execute work to meet project schedules.
  • Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.

We provide these great perks and benefits:
  • We offer competitive wages and a comprehensive benefits package
    • 401(k)
    • Medical/dental/vision coverage
    • Tuition assistance
    • Vacation and holidays.
  • On-site gym with a managing health and wellness professional.
  • In-house training and development staff.
  • Subsidized cafeteria and Starbucks coffee

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