1

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

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... networks and deep learning methods for advanced AI applications - Managing data quality and ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

Aviation Civil Intern

Saint Louis, MO · On-site

$16 - $20.75/hr

... deep understanding of community needs. Whether you're modernizing aging infrastructure or ... engineering techniques and procedures and learning about the civil design aspects for runways ...

The Firmware Engineer Intern is primarily responsible for providing technical excellence in ... In the process of acquiring a Bachelor of Science in Computer Engineering, Electrical Engineering ...

The Firmware Engineer Intern is primarily responsible for providing technical excellence in ... In the process of acquiring a Bachelor of Science in Computer Engineering, Electrical Engineering ...

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Solid applied knowledge of ML fundamentals - predictive modeling, deep learning (PyTorch ... vision, disability, life insurance); flexible spending account and health savings account; paid ...

Showing results 41-60

Intern Computer Vision Deep Learning Engineer information

See Saint Louis, MO salary details

$8

$16

$23

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

As of Aug 17, 2026, the average hourly pay for intern computer vision deep learning engineer in Saint 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?

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 the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Saint Louis, MO?

The most popular types of Computer Vision Deep Learning Engineer jobs in Saint Louis, MO are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Saint Louis, MO?

For Intern Computer Vision Deep Learning Engineer jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Saint Louis, MO look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Saint Louis, MO are:

What cities near Saint Louis, MO are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Saint Louis, MO with the most Intern Computer Vision Deep Learning Engineer job openings:

$92K/yr

Full-time

Posted 14 days ago


Defense Contract Management Agency rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

142nd of 846 rated public administrative organizations


Job description

See below for important information regarding this job.
Additional vacancies may be filled from this announcement.
Positions will be filled at any of the locations listed below. Site specific salary information as follows:
- Saint Louis, MO : $92,775 - $141,880 (includes 20.03% locality)
- Fort Worth, TX : $98,363 - $150,426 (includes 27.26% locality)Qualifications:To qualify for an Interdisciplinary Engineer position your resume and supporting documentation must support:
A. Basic Requirement:
A Bachelor's Degree or higher in professional engineering. To be acceptable, the program must: (1) be in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics.
OR
A combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying professional engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:
  1. Professional Registration or Licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions.
  2. Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico.
  3. Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and in engineering that included the courses specified in the Basic Requirements above. The courses must be fully acceptable toward meeting the requirements of a professional engineering curriculum as described in the Basic Requirements above.
  4. Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g. engineering technology physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions.
AND
B. Specialized Experience: In addition to the basic requirement above, you must possess one year of specialized experience that equipped you with the competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify for the NH-03 level, specialized experience must be at the NH-02 or GS-11 grade level or equivalent under other pay systems in the Federal service, military, or private sector.
Creditable specialized experience includes:
  • Applying software engineering/analysis principles, concepts, and standards in support of complex defense acquisition systems.
  • Overseeing the Software Development Life Cycle for major Acquisition programs.
  • Providing technical support for embedded software, missile systems, and sensor technologies.
  • Reviewing contracts for contractor compliance.
  • Providing technical advice on contract application/development changes
  • Leadership experience conducting engineering/analytical surveillance on substantive/critical/unique changes; implementing agency policy/processes.
Education:

If the position has a minimum education requirement you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. Or, if you are using education to qualify in lieu of specialized experience you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. The transcripts must include your name, the name of the college or university, class/course list, completed number of credits/hours, and the date degree conferred (if applicable). Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. Licenses must be current at time of application.

GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.

Employment Type: OTHER

What Defense Contract Management Agency employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom