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Intern Computer Vision Deep Learning Engineer Jobs in New Orleans, LA

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep learning techniques * Computer vision * Natural language processing * Cloud computing ... Knowledge of: * Data engineering principles * MLOps practices * Distributed computing * High ...

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

Engineering Intern

Metairie, LA

$15.50 - $20/hr

About Us At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of ... learning and development. We embrace innovation and encourage creative problem solving to tackle ...

Engineering Intern

Metairie, LA · On-site

$15.50 - $20/hr

About Us At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of ... learning and development. We embrace innovation and encourage creative problem solving to tackle ...

Civil Engineering Intern

Covington, LA · On-site

$15 - $19.50/hr

Ability to sit for extended periods during computer-based work. * Ability to stand and walk ... vision coverage, supplemental life insurance, short-term disability, critical illness insurance ...

Showing results 21-40

Intern Computer Vision Deep Learning Engineer information

See New Orleans, LA salary details

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

As of Sep 9, 2026, the average hourly pay for intern computer vision deep learning engineer in New Orleans, LA is $16.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.46 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 are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in New Orleans, LA?

For Intern Computer Vision Deep Learning Engineer jobs in New Orleans, LA, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in New Orleans, LA look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in New Orleans, LA are:

Intern, Applied Technologies (Summer 2027)

Kenner, LA • On-site, Remote

Moderna
Manufacturing • 501 - 1,000 employees

$20 - $60/hr

Full-time

PTO

Posted 4 days ago


Moderna rating

9.2

Company rating: 9.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

5th of 86 rated pharmaceutical


Job description

The Role

This is a summer internship opportunity in Norwood, MA from June 7, 2027 - August 20, 2026. Applicants must be available for the entire duration of the internship. Start date will be June 7, 2027.

Moderna's Applied Technologies team develops and deploys innovative automation, robotics, and digital solutions that enable faster, more reliable, and more scalable scientific and technical workflows.

As an Applied Technologies Intern, you will work alongside engineers and scientists to support the design, development, testing, and implementation of automation solutions used across Technical Development. You will have the opportunity to gain hands-on experience with laboratory automation, robotics, software, data, and systems engineering while contributing to a defined technical project with real-world impact.

This role is designed for a curious, hands-on learner who enjoys solving technical problems, working across disciplines, and translating ideas into practical solutions.

Here's What You'll Do

  • Contribute to a defined automation, robotics, or systems engineering project under the guidance of an AT engineer or scientist.
  • Support the development, configuration, and testing of laboratory automation systems, robotic platforms, instruments, or related software.
  • Assist with experimental execution, system characterization, troubleshooting, and collection of performance data.
  • Analyze test or experimental data and summarize findings to support engineering decisions.
  • Develop or modify scripts, workflows, automation methods, or simple software tools where appropriate.
  • Support preparation of test plans, technical documentation, diagrams, work instructions, and project summaries.
  • Participate in prototype development and evaluate potential improvements to system reliability, throughput, usability, or scalability.
  • Work collaboratively with scientists, engineers, automation specialists, and other Technical Development partners to understand user needs and technical requirements.
  • Apply good engineering and documentation practices, including appropriate use of version control and structured testing.
  • Present project progress, technical findings, and recommendations to the Applied Technologies team at the conclusion of the internship.
  • Learn about the application of automation, robotics, systems engineering, and digital technologies within biotechnology development.
  • Bring curiosity, initiative, and a willingness to learn as part of a team that values being Bold, Relentless, Curious, and Collaborative.

Here's What You'll Need (Basic Qualifications)

  • Currently pursuing a bachelor's or graduate degree in an engineering, computer science, bioengineering, robotics, automation, life sciences, or related technical discipline.
  • Completion of relevant coursework or project experience involving one or more of the following:
  • programming or scripting;
  • robotics or mechatronics;
  • laboratory automation;
  • electrical or mechanical systems;
  • systems engineering;
  • data analysis;
  • biological or laboratory sciences.
  • Demonstrated interest in applying engineering or digital technologies to scientific problems.
  • Ability to work effectively in a collaborative, multidisciplinary environment.
  • Strong problem-solving, organizational, and communication skills.
  • Ability to document work clearly and communicate technical results.

Here's What You'll Bring to the Table (Preferred Qualifications)

  • GPA of 3.5 on a 4 scale or equivalent.
  • Hands-on academic, research, internship, maker-space, or personal project experience with automation or robotics.
  • Programming experience in Python, C#, JavaScript, MATLAB, or a similar language.
  • Experience working with laboratory instruments, liquid handlers, robotic systems, sensors, microcontrollers, or electromechanical systems.
  • Familiarity with CAD, Git/version control, data visualization, or engineering analysis tools.
  • Experience designing and executing experiments or structured technical tests.
  • Exposure to biological laboratory workflows or biotechnology/pharmaceutical development.
  • Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or advanced robotics.

Pay & Benefits

At Moderna, we believe that when you feel your best, you can do your best work. That's why our co-op benefits are designed to support you during your time with us -at work, at home, and everywhere in between.

  • Free premium access to meditation and mindfulness classes
  • Subsidized commuter benefits
  • Generous paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown
  • Location-specific perks and extras

The salary range for this role is $20.00 - $60.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

About Moderna

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.

By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.

We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.

If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.

Our Working Model

As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.

Moderna is a smoke-free, alcohol-free, and drug-free work environment.

Equal Opportunities

Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!

Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Accommodations

We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.

Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com.

Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.


What Moderna employees say

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Moderna logo

About Moderna

Sourced by ZipRecruiter

In just over a decade, Moderna has evolved from a research-focused company in the messenger RNA (mRNA) field to a leading enterprise with a diverse clinical portfolio of vaccines and therapeutics. With a strong intellectual property portfolio and state-of-the-art manufacturing capabilities, Moderna collaborates with global partners to advance groundbreaking science and achieve rapid scaling of production. Notably, Moderna's mRNA platform has enabled the development of therapies for various diseases, including infectious diseases, immuno-oncology, and cardiovascular conditions. Recognized as a top biopharmaceutical employer, Moderna fosters an inclusive and smoke-free work environment. The company is dedicated to equal employment opportunities and non-discrimination, ensuring that all employees and applicants are treated with respect and without bias based on factors like race, gender, religion, disability, or sexual orientation. Moderna is also committed to providing reasonable accommodations for individuals with disabilities, in accordance with applicable laws. To know more, visit www.modernatx.com.

Industry

Manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

2010

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