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Intern Computer Vision Deep Learning Engineer Jobs in Lexington, TN

Our Sustainability Commitment The Novolex sustainability vision is built upon three pillars: our ... Advanced computer knowledge with MS Office applications (Excel, Access, etc) and other computer ...

Our Sustainability Commitment The Novolex sustainability vision is built upon three pillars: our ... Advanced computer knowledge with MS Office applications (Excel, Access, etc) and other computer ...

Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Programmer Analyst

Milan, TN · On-site

$75 - $105/hr

Bachelor's degree in Computer Science, Information Systems, or related field. * 5+ years of ... Medical, Dental, Vision, Short and Long‑term Disability, Life and AD&D Insurance * 401(k) Program ...

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Intern Computer Vision Deep Learning Engineer information

See Lexington, TN salary details

$6

$13

$18

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

As of Aug 21, 2026, the average hourly pay for intern computer vision deep learning engineer in Lexington, TN is $13.03, according to ZipRecruiter salary data. Most workers in this role earn between $11.06 and $14.71 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 Lexington, TN look for?

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

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

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

Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Lexington, TN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $27,108 per year, or $13 per hour.

Process Engineer

Novolex

Jackson, TN • On-site

Full-time

Medical, Dental, Vision

Posted 16 days ago


Novolex rating

7.2

Company rating: 7.2 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

63rd of 120 rated packaging manufacturers


Job description

Why Choose Us?

Novolex is a leading manufacturer of food, beverage, and specialty packaging that supports multiple industries including foodservice, restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors. Novolex manufacturing and sourcing expertise spans a diverse range of substrates including resin, paper, molded fiber, aluminum and more. We provide customers a broad array of stock and customized solutions with 120 product categories, 250 brands and over 39,000 SKUs.

Our Sustainability Commitment

The Novolex sustainability vision is built upon three pillars: our products, our operations and our people. Each is critically important to our growth and future as a business. These pillars form the foundation of our company-wide commitment to sustainability, helping us achieve our ambitious goals through our wide-ranging initiatives.


Position Summary:

The primary purpose of this role is to support improvement of existing processes, design, install, configure and maintain manufacturing systems to reduce cost, improve equipment reliability, and develop best practices with in the production process. The main focus of the process engineer’s work is on maintaining reliable and safe manufacturing systems, while improving quality, overall equipment effectiveness (OEE), production rates, efficiencies, yields, costs and changeovers. The process engineer is a part of the plant staff driven to identify, develop and deliver innovative solutions that improve process capability and production volume while maintaining and improving safety and quality standards.

Essential Functions & Key Responsibilities:

  • Support production and maintenance in improving process reliability and performance. Key success factors include reducing equipment downtime and scrap, improving line performance and quality throughput, reducing changeover times, and improving the plant’s overall approach to preventive and predictive maintenance.
  • Support and develop production and/or maintenance projects for the plant in Extrusion and Converting Departments.
  • Provide guidance to maintenance team on assigned tasks and projects.
  • Facilitate process/continuous improvement. Identify cost-savings and process improvement projects and move them from concept to implementation. Drive continuous improvement by developing and implementing systems and process improvements that optimize all phases of the production process; be actively involved in the development and implementation of long term improvement plans.
  • Create and maintain process flow, PFMEA, Standard Operating Procedures and line capability and performance documentation
  • Develop and maintain error proofing methodologies.
  • Support, cost, estimate and document all engineering changes.
  • Initiate actions to prevent the occurrence of any quality non-conformances related to product, process and systems.
  • Provide technical inputs for incident investigation, root cause analysis and corrective action.

  

Candidate Requirements:

  • Bachelor’s Degree (Mechanical Engineering, Electrical Engineering or related Technical Discipline).
  • At least five (5) years of relevant experience in manufacturing environment preferred.
  • Strong mechanical, electrical and manufacturing process skills/experience.
  • Must have working knowledge of PLC’s, automation, and high speed manufacturing equipment.
  • Analytical skills and understanding of problem solving techniques/tools.
  • Data-driven, disciplined, objective and detail oriented.
  • Strong communication skills. Demonstrated ability to act as a business partner, “see the big picture,” and work through ambiguity and change.
  • Advanced computer knowledge with MS Office applications (Excel, Access, etc) and other computer tools and software.
  • Must be legally authorized to work in the United States without Company sponsorship.
  • Successful completion of pre-employment background and drug screen

#LI-TM1

#INDSalaried


What You'll Get From UsBenefits

With safety as our top priority and a commitment to employee well-being an important focus, we offer comprehensive and competitive benefits that include medical, dental and vision insurance as well as a variety of other well-being resources focused on mental, physical and financial health. Specific benefits and well-being programs may vary depending on where you work.

Community Engagement

At Novolex, giving back to the local communities that support us is important. Our Focused Giving Program prioritizes support for organizations whose missions promote sustainability initiatives or address food and hunger needs. We also encourage facility level support of activities in the communities where our employees live and work.

Training and Development

We offer constant opportunities for advancement. From skills development to advanced education programs, training and development programs and courses are available through MyLearning. Programs include company and industry training curricula, support for formal education through the Tuition Reimbursement Program (Non-Union), and a Learning Management System that supports and enhances employee skills at all levels of the organization.

Novolex is committed to providing equal employment opportunity in all employment practices, including but not limited to selection, hiring, promotion, transfer, and compensation to all qualified applicants and employees without regard to age, race, color, national origin, sex, pregnancy, sexual orientation, gender identity, religion, handicap or disability, genetics, citizenship status, service member or veteran status, or any other category protected by federal, state, or local law. Any individual who, because of his or her disability, needs an accommodation in connection with an aspect of the Company's application process should contact myHRservices@novolex.com.

Formerly Pactiv Evergreen


What Novolex employees say

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