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Intern Computer Vision Deep Learning Engineer Jobs in Longwood, FL

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$40/hr

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

Patel, Greene and Associates

Roadway Engineer Intern

Orlando, FL · On-site

$15.75 - $20.25/hr

This position offers opportunities for growth, continuous learning, and career advancement within a ... While performing the duties of this job including working on a computer, the employee is regularly ...

By Light Professional IT Services LLC

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Metova Federal

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Metova Federal

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Familiarity with machine learning or data science concepts and experience with data visualization ...

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Showing results 21-40

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Longwood, FL

Intern Computer Vision Deep Learning Engineer information

See Longwood, FL salary details

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

As of Sep 11, 2026, the average hourly pay for intern computer vision deep learning engineer in Longwood, FL is $14.83, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $16.73 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
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Longwood, FL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $30,855 per year, or $14.8 per hour.

Machine Learning Eng./Data Lead

Orlando, FL

Ascension Federal Services Inc.
See more jobs at Ascension Federal Services Inc.external

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Job Description: Machine Learning Eng./Data LeadLocation: Orlando, FL, 32801Job Summary:

We are seeking a highly skilled Machine Learning Engineer/Data Lead to join our team. The ideal candidate will have experience in developing and implementing machine learning models and algorithms, as well as experience in data management and analysis. The Machine Learning Engineer/Data Lead will be responsible for leading the development and implementation of machine learning solutions, as well as managing and analyzing large datasets.

Responsibilities:
  • Develop and implement machine learning models and algorithms
  • Manage and analyze large datasets
  • Lead the development and implementation of machine learning solutions
  • Collaborate with cross-functional teams to identify and solve complex business problems
  • Stay up-to-date with the latest developments in machine learning and data analysis
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in machine learning and data analysis
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Experience with data management and analysis tools such as SQL, Hadoop, or Spark
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.

Apply