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Intern Computer Vision Deep Learning Engineer Jobs in Cary, NC

CoVar

Machine Learning Engineer

Durham, NC · On-site

The Machine Learning Engineer will develop software and machine learning algorithms to address real ... • Deep knowledge of state-of-the-art in computer vision • Department of Defense project ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ...

BotBuilt

Computer Vision and Optimization Engineer

Durham, NC · On-site

$101K - $119K/yr

Computer Vision and Optimization Engineer What does BotBuilt do? We build robots that build homes. We collaborate with traditional home builders to enhance their construction process through speed ...

Nvidia

Senior GPU Architect, Deep Learning

Durham, NC · On-site

MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. * Experience in working with hardware targeted at deep learning, or working on mapping deep learning ...

Nvidia

Senior GPU Architect, Deep Learning

Durham, NC · On-site

MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. Experience in working with hardware targeted at deep learning, or working on mapping deep learning ...

Syngenta

Machine Learning Engineer

Durham, NC · On-site

Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning ... Deep expertise in deep learning architectures for computer vision (CNNs, vision transformers ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ... learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer ...

Accenture

Senior Data Scientist

Raleigh, NC · On-site

... deep learning, natural language processing, computer vision, generative AI, and agentic AI ... Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ...

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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 Sep 15, 2026, the average hourly pay for intern computer vision deep learning engineer in Cary, NC is $15.78, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $17.84 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 the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Cary, NC?

The most popular types of Computer Vision Deep Learning Engineer jobs in Cary, NC are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Cary, NC?

For Intern Computer Vision Deep Learning Engineer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Cary, NC look for?

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

Senior Systems Software Engineer - Machine Learning

Durham, NC • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$118K - $156K/yr

Full-time

Posted yesterday

New

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It's a unique legacy of innovation fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

We're hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. If you've spent more time than you'd like to admit building workflows to populate data and/or diversify/expand your dataset, you'll likely feel at home here. Bonus points if you've worked with 3D computer vision (extra bonus if you actually enjoyed it). The team is a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership. If you enjoy building systems that get used-and working with people who know when to debate and when to just run the experiment-this jobs is for you.

What you will be doing:

  • Convert research into real products (not just slide decks or notebooks)

  • Help build workflows that diversify datasets and/or populate data

  • Ship machine learning workflows/pipelines fast and iterate faster

  • Leverage LLM/VLM and agents in the data generation pipeline

  • Define evaluation criteria and run offline evals before any model or prompt change reaches production

What we need to see:

  • Masters degree (or equivalent experience) or preferably a PhD degree in Computer Science or a related field with 5+ years of experience

  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.

  • Strong background in computer vision and deep learning.

  • Excellent programming skills in Python and C/C++.

  • Excellent software engineering fundamentals.

  • Ability to develop code in Unix/Linux environments.

  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.

  • Strong collaboration skills to partner with other teams.

Ways to stand out from the crowd:

  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"

  • Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks

  • Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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