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Internship Computer Vision Engineer Jobs (NOW HIRING)

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

Hired Recruiters

Senior Engineer, Computer Vision

Austin, TX · On-site +1

$103K - $142K/yr

As a computer vision engineer at the company you'll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial ...

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How much do internship computer vision engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for internship computer vision engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an Internship Computer Vision Engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Engineer, and why are they important?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

What types of projects and responsibilities can I expect as an Internship Computer Vision Engineer?

As an Internship Computer Vision Engineer, you’ll typically work on tasks such as developing and testing algorithms for image and video analysis, assisting in dataset preparation and annotation, and supporting the implementation of computer vision models. You may also help evaluate model performance and collaborate closely with senior engineers or researchers to integrate solutions into real-world applications. Interns often participate in team meetings, present their findings, and receive mentorship, which provides a valuable learning environment and exposure to the latest industry tools and practices.
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Internship Computer Vision Engineer jobs near you

Junior Computer Vision Engineer

Cesna Recruitment

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

[Position]

Computer Vision Engineer

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job Summary]

- To research and develop scalable computer vision and machine learning solutions to a hard problem

- To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning

- To design, implement, and deploy full-stack computer vision and machine learning solutions

[Job Description]

[Detailed Job Descriptions]

- Deep Learning Network Training and Deployment to wide range of CV application

- Image Enhancement

- Ghost removal / De-blurring / Contrast Enhancement

-Color Image Processing

- Denoising / Image Domain Transformation / Smoothing & Sharpening

-Segmentation

- Semantic Segmentation / Instance Segmentation

-Various Region Detection on Images

- Saliency / Anomaly

- Shape matching / Blob from multi-modal data / Model Fitting

-Classification

- Small Data driven / Big Data driven

-3D / Depth image processing development

- Transformations / Denoising (Artifact, …) / Reconstruction / Ensemble

- Stereo Vision

- Camera Calibration / Depth Estimation

Requirements

[Qualifications]

[Education and Experience]

- Required: Master’s degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience

- Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience

- Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience

[Technical Requirements] (At least, one of the below is required.)

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to C++ implementation of Computer Vision

[Skills to programming language ](At least, one of the below is required.)

- C++ / Python / CUDA

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays