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Intern Computer Vision Deep Learning Engineer Jobs in St Louis, MO

Software QA Intern

Saint Louis, MO · On-site

$18.75 - $24.50/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Edwardsville, IL · On-site

$18 - $23.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model-only / AI-heavy DS * Less focus on deep learning, GenAI, etc. * More focus on data foundations ...

Electrical Intern

Saint Louis, MO · On-site

$18 - $20/hr

... engineering disciplines to ensure a fully coordinated approach * Learning about building codes ... As an intern, you'll be welcomed into a supportive, growth-oriented environment where you can ...

... deep learning models that create value for our farmers * Collaborate across the Science ... Bachelor's degree in data science, computer science, or related quantitative field * A minimum of 3 ...

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Intern Computer Vision Deep Learning Engineer information

See St Louis, MO salary details

$8

$16

$23

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

As of Jul 14, 2026, the average hourly pay for intern computer vision deep learning engineer in St. Louis, MO is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 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 St. Louis, MO? For Intern Computer Vision Deep Learning Engineer jobs in St. Louis, MO, the most frequently searched job titles are:
What cities near St. Louis, MO are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near St. Louis, MO with the most Intern Computer Vision Deep Learning Engineer job openings:
DevOps Engineer Intern

DevOps Engineer Intern

Delta Dental Of Missouri

Saint Louis, MO • On-site

Full-time

Posted 20 days ago


Job description

Kickstart your career as a DevOps Engineer Intern with Delta Dental of Missouri, where you'll gain hands-on experience in Azure cloud environments and modern DevOps practices. In this role, you'll collaborate with experienced engineers to build and improve CI/CD pipelines, support automated testing, and help ensure the reliability and performance of critical applications. You'll also explore cutting-edge AI-powered DevOps tools to enhance automation and drive innovation. This is a great opportunity for a tech-savvy student or recent graduate eager to develop real-world skills in a collaborative, agile environment. If you're curious, detail-oriented, and excited about continuous improvement, we'd love to hear from you.
Position Summary
As a DevOps Engineer Intern at Delta Dental of Missouri (DDMO), you will have the opportunity to work closely with our experienced engineering team to gain hands-on experience in the fields of DevOps and Azure cloud environments. You will play a crucial role in ensuring the quality, reliability, and performance of our software products while also contributing to the continuous improvement of our development and deployment processes.
Essential Functions and Job Responsibilities
• Collaborate with full stack engineers to design, implement, and maintain automated testing frameworks for both frontend and backend systems.
• Participate in the development and execution of test plans and test cases to verify the functionality, usability, and performance of our software applications.
• Assist in the setup and maintenance of continuous integration/continuous deployment (CI/CD) pipelines to automate the build, test, and deployment processes for application and infrastructure.
• Evaluate and integrate AI-powered DevOps tools to enhance pipeline intelligence, including automated anomaly detection, predictive incident response, and AI-assisted code review or test generation within Azure DevOps workflows.
• Contribute to the monitoring, troubleshooting, and optimization of our production systems to ensure high availability and reliability.
• Work with cross-functional teams to identify areas for process improvement and implement best practices for software development, testing, and deployment.
• Adhere to and support Architecture Review Board (ARB) and Change Advisory Board (CAB) processes, ensuring proposed changes meet established standards prior to implementation.
• Stay up to date with emerging technologies, tools, and trends in DevOps and Quality Assurance to drive innovation and efficiency within the organization.
• Develop and maintain design and troubleshooting documentation.
• Run agile scrum meetings when needed.
Qualifications
• Currently pursuing a degree or a recent graduate in Computer Science, Engineering, or a related field.
• Familiarity with software development methodologies such as Agile or Scrum, DevOps methodologies.
• Basic understanding of programming/scripting languages such as Python, C#, Java, or JavaScript.
• Knowledge of version control systems (e.g., Git) and issue tracking systems (e.g., Jira).
• Familiarity with AI/ML operationalization (MLOps) concepts and AI model deployments.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork abilities.
• Prior experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes) and QA automation frameworks (e.g., Selenium) is a plus.
• Demonstrated commitment to the company's core values of integrity, adaptability, service-focused, accountability, curiosity, and community.
Work Conditions
General office working conditions which may require sitting for extended periods of time.
Physical Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Specific vision abilities require the ability to focus distant and near objects clearly. While performing the duties of this job, the employee is regularly required to sit, talk, and hear. The employee is frequently required to use hands and arms to handle, feel and reach as well as operate a personal computer.
Disclaimer
This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The organization reserves the right to modify this job description at any time; including assigning or reassigning job duties.
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.