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Intern Computer Vision Deep Learning Engineer Jobs in Mount Juliet, TN

Transportation Intern - Roadway

Franklin, TN · On-site

$14.50 - $19.25/hr

Our experienced Highway Transportation Team in Franklin, TN is seeking a civil engineering student ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Machine Learning Operations Engineer

Nashville, TN · On-site

$51 - $69.75/hr

Bachelor's Degree in Computer Science, Engineering or equivalent work experience. * 5-7 years of combined experience in Data Engineering, MLOps, Machine Learning Engineering, or related fields.

Machine Learning Operations Engineer

Nashville, TN · On-site +1

$51 - $69.75/hr

Bachelor's Degree in Computer Science, Engineering or equivalent work experience. * 5-7 years of combined experience in Data Engineering, MLOps, Machine Learning Engineering, or related fields.

Machine Learning Operations Engineer

Nashville, TN · On-site

$51 - $69.75/hr

Bachelor's Degree in Computer Science, Engineering or equivalent work experience. * 5-7 years of combined experience in Data Engineering, MLOps, Machine Learning Engineering, or related fields.

Transportation Intern - Roadway

Franklin, TN · On-site

$14.75 - $19.75/hr

Our experienced Highway Transportation Team in Franklin, TN is seeking a civil engineering student ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Electrical Intern

Nashville, TN · On-site

$18.25 - $24.25/hr

A leading comprehensive engineering design and consulting firm, SSR provides innovative solutions ... SSR offers benefit options including medical, dental, and vision coverage, a generous contribution ...

New

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Showing results 41-60

Intern Computer Vision Deep Learning Engineer information

See Mount Juliet, TN salary details

$8

$16

$22

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

As of Sep 10, 2026, the average hourly pay for intern computer vision deep learning engineer in Mount Juliet, TN is $16.08, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $18.17 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.

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Mount Juliet, TN look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Mount Juliet, TN are:

What cities near Mount Juliet, TN are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Mount Juliet, TN with the most Intern Computer Vision Deep Learning Engineer job openings:

Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Mount Juliet, TN as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,452 per year, or $16.1 per hour.

Computer Scientist Cybersecurity

Nashville, TN • On-site

US Department of the Treasury
Public Administration • 10K+ employees

$125K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

WHAT IS THE CRIMINIAL INVESTIGATIONS DIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled
    • CI
      • Advanced Analytics & Innovation
      • Cyber & Forensic Services (DC area only)
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:

  • Demonstrated professional competence in applying the theoretical foundations of computer science, including the design, development and application of computer systems and architectures, artificial intelligence, natural language processing, deep learning, data ingestion, normalization, and ontologies.
  • Applying software exploitation techniques, cryptanalysis, or blockchain technology.
  • Interpreting and applying relevant mathematical and statistical sciences.
  • Working complex assignments in research, acquisition, design, development and maintenance of information systems for identifying and tracing movements in cryptocurrency, deanonymization of online actors, identifying suspicious activity, or analyzing and organizing large volumes of unstructured data.
  • Leading projects to design, acquire, and implement major prototype and developmental systems.
  • Making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.

AND
You must also meet the following requirements:

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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