ZipRecruiter

Log In

1

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

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · 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 ...

Deloitte

AI Solutions Architect

Saint Louis, MO · On-site

$61.25 - $80.75/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... deep learning, or generative artificial intelligence solutions in production environments

Goley Insulation

Project Engineer Intern

Dupo, IL · On-site

Strive to Innovate - Continuous learning and problem-solving keep us at the forefront of our ... Ability to sit or stand for extended periods, work at a computer, and review both physical and ...

West Star Aviation

Engineering Intern - 1373

East Alton, IL · On-site

$18 - $20/hr

Creating and submitting engineering drawings and illustrations on CAD software. * Maintaining the ... Medical, Dental and Vision Coverage with Health Savings Account (HSA) and Flexible Spending Account ...

next page

Showing results 1-20

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in St. Louis, MO

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 13, 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:
Intern Computer Vision Deep Learning Engineer jobs near you
Principal AI Software Architect

Principal AI Software Architect

Cass Information Systems Inc.

Bridgeton, MO • On-site

Full-time

Posted 12 days ago

Job description

The Principal Artificial Intelligence (AI) Software Architect leads the design, development, and deployment of advanced AI and software engineering solutions across the enterprise. This role blends deep expertise in artificial intelligence with architectural leadership in software systems, driving innovation, scalability, and excellence in engineering practices.

PRINCIPAL RESPONSIBILITIES AND DUTIES:

  • Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals.
  • Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions.
  • Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability.
  • Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture.
  • Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement.
  • Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives.
  • Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives.
  • Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies.
  • Other duties as needed or assigned.

SKILLS AND ABILITIES REQUIRED:

  • Hands-on experience driving innovation through emerging technologies and methodologies.
  • Excellent communication skills and leadership skills with a track record of mentoring and influencing teams.
  • Proven experience designing and deploying AI/ML and software solutions at scale in cloud environments such as Azure, AWS, GCP.
  • Expertise in machine learning, deep learning NLP, computer vision, and generative AI.
  • Ability to demonstrate strategic thinking and the ability to align technical vision with business objectives.
  • Ability to build trust and influence across all levels of the organization, driving consensus and momentum for complex initiatives.
  • Advanced knowledge of programming languages within the respective divisions.
  • Advanced knowledge of applicable data privacy practices and laws.
  • Advanced analytical, conceptual, and problem-solving abilities.
  • Advanced level of written and oral communication skills.
  • Advanced level of interpersonal and consultative skills.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.
  • Ability to work in a team-oriented, collaborative environment.

MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED:

  • A bachelor’s degree in the field of computer science, information systems, or computer engineering or equivalent experience.
  • 7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.
  • 5+ years of hands-on experience with application development tools, including Visual Studio .NET.
  • 5+ years of hands-on experience with relational database technology, preferably MS SQL Server.

APPLICATION PROCESS:

You can directly apply through Cass's website at https://www.cassinfo.com/careers. Please apply directly to this position via the “Apply” button. You will be required to create an account and provide your resume, contact information and other pertinent employment information. This process typically takes 20 minutes or less. Should we find that you meet the minimum requirement of the position, a member of our recruiting team will be in touch to start the interview process.

ABOUT OUR COMPANY:
Cass Information Systems, Inc. (NASDAQ: CASS) is a leading provider of integrated information and payment management solutions. Cass enables enterprises to achieve visibility, control and efficiency in their supply chains, communication networks, facilities, and other operations. Disbursing over $94 billion annually on behalf of its clients, and with total assets of $2.5 billion, Cass is uniquely supported by Cass Commercial Bank. Founded in 1906 and a wholly-owned subsidiary, Cass Commercial Bank provides sophisticated financial exchange services to the parent organization and its clients. Cass is part of the Russell 2000®. More information is available at www.cassinfo.com.

Apply