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

Pwc

AI Engineer

New Orleans, LA · On-site

$50K - $112K/yr

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

Dashiell Corportaion

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 ...

Chevron

2026-2027 Petroleum Engineer Intern

Covington, LA · On-site +1

$10K/mo

Petroleum engineers develop technical skills in production and reservoir engineering assignments ... Formal training + onthejob learning * Mentorship from experienced professionals * Multiple job ...

Reli Group Inc

Power BI Intern

Kenner, LA · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

New Orleans, LA · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Chevron

2026-2027 Land Intern

Covington, LA

$31.75 - $48/hr

From producing oil and gas to developing lowercarbon technologies, Chevron engineers work across ... Formal training + onthejob learning * Mentorship from experienced professionals * Multiple job ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in New Orleans, LA

Intern Computer Vision Deep Learning Engineer information

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

As of Aug 18, 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 Computer Vision Deep Learning Engineer jobs near you

Software Engineer, AI, Python, DevOps, sensors, Secret Clearance with Security Clearance

Devine Consulting

Stennis Space Center, MS • On-site

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

DeVine is a leading provider of Technical and Scientific solutions for Federal, State and commercial clients.   Our company is looking for a Software Engineer, with Secret Clearance, to join our team at Stennis Space Center in Mississippi.  This onsite position will be supporting a government customer, hence only US Citizens may be considered. The Software Engineer will join DeVine and will work with our customer supporting projects in applied Meteorology, Oceanography (METOC), etc.  If you enjoy working hard, having fun, and seeing your effort make an impact in our Nation, and the World at large, then please apply! Required Experience with: • 4+ years' professional programming experience with Python • Experience with Anaconda, automation and dockerization  • Coordinating support for projects that involve multiple stakeholders, participating in related meetings, writing reports and tracking progress • Current Secret Clearance Preferred Experience with: • Experience using generative AI and Large Language Models (LLM): as a Coding Partner, Rapid Prototyping & Modeling, Deep Learning & Simulation and Vector databases • Java • Bachelor's Degree in Computer Science or related field • 4D modelling, METOC, NetCDF • Dockerized interface development for UUV sensors a plus • Writing custom scripts • Security Technical Implementation Guides (STIGs), especially in regards to Navy systems About the position:  Position Type: Full-time
Location: Stennis Space Center, MS
Benefits: Medical, Dental, Vision, 401k, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
Compensation: $90K-100K per year DOE and skills Equal Opportunity Employer  We are committed to a policy of assuring that all applicants for employment are recruited, hired and assigned on the basis of qualifications and merit without discrimination based on any protected classification, including, but not limited to, race, color, religion, sex, sexual orientation, national origin, veteran status, age, disability, handicap, marital status, or any other characteristic protected by applicable laws.

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