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Intern Computer Vision Deep Learning Engineer Jobs in Coppell, TX

Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale. * Develop vision-language models and Mixture of Experts architectures, from ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... science|Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 ... Our always-on learning agenda drives their continuous improvement through building and transferring ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... deep learning, and reinforcement learning. Experience with cloud platforms such as Google Cloud ... Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Our always-on learning agenda drives their continuous improvement through building and transferring ... Required Skill and Experience - Expertise in developing real-time computer vision models - Python ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... unsupervised learning, deep learning, and reinforcement learning. • Experience with cloud ... computer vision (CV) techniques. • Experience with continuous integration and continuous ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required : • Expertise in developing real-time computer vision models • Python, Pytorch, tensorflow • CV/ML model development • Object recognition/Detection • Bachelor's degree or foreign ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative ...

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Intern Computer Vision Deep Learning Engineer information

See Coppell, TX salary details

$8

$15

$22

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

As of Aug 1, 2026, the average hourly pay for intern computer vision deep learning engineer in Coppell, TX is $15.73, according to ZipRecruiter salary data. Most workers in this role earn between $13.32 and $17.74 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.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Coppell, TX? For Intern Computer Vision Deep Learning Engineer jobs in Coppell, TX, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Coppell, TX look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Coppell, TX are:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Coppell, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $32,713 per year, or $15.7 per hour.

$101K - $119K/yr

Full-time

Re-posted 13 days ago


Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.