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Internship Computer Vision Engineer Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

New York, NY · On-site

$122K - $143K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

Menlo Park, CA · On-site

$131K - $155K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

... internships or research) in software engineering, machine learning, or computer vision ... Experience with Python and deep learning frameworks such as PyTorch. * Understanding of machine ...

Qualcomm Technologies

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Zobility

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

They are seeking a Computer Vision Engineer to develop and implement digital technology solutions that improve manufacturing efficiency and quality. Responsibilities : • Engaging with NA regional ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

LER TechForce

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

They are seeking a Computer Vision Engineer to develop new digital technology solutions and engage with customers to identify opportunities for innovation in IoT technology. The role involves ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH) * Dr.

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH) * Dr.

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Internship Computer Vision Engineer information

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

As of Aug 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?

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.
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Internship Computer Vision Engineer jobs near you
Infographic showing various Internship Computer Vision Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$80K/yr

Full-time

Life, Retirement, PTO

Re-posted 19 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions.
Position Description
The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.
Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time

Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation

Position Requirements
This position requires the following skills and attributes:
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras

Preferred
The following skills and attributes are preferred:
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real-time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)

Benefits
  • Competitive compensation range: $80000 - $140000 / year (California).
  • Comprehensive benefits package.
  • Training and mentorship opportunities.
  • On-campus wellness activities.
  • Education reimbursement program.
  • 401(k) program with discretionary employer match.
  • Generous vacation accrual and paid holiday schedule.

Please note that the compensation range may be adjusted in the future, and bonus and incentive compensation plans may apply.
Our total reward package reflects our commitment to employee growth and well-being, as we invest in your development and offer a range of benefits designed to enhance your career and life.
All compensation and benefits are subject to plan documents and written agreements.

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