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Computer Vision Video Processing Engineer Jobs (NOW HIRING)

Knowledge of Video or Image processing or Computer Vision * Solid programming skills for common ML frameworks like PyTorch or TensorFlow Preferred Qualifications * Experience in prototyping models ...

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer ... video generation, and AI-assisted annotation and labeling * Experience with computer graphics or ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Computer Vision Engineer

Austin, TX · On-site

$110K - $130K/yr

We try to work with minimal process and permission, but ample support and collaboration. We rarely ... video streams. * Optimizing vision pipelines for edge deployment and high-throughput, low-latency ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

... process video and evidence, and leverage cutting-edge AI-driven analytics for security and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer ... video generation, and AI-assisted annotation and labeling * Experience with computer graphics or ...

Computer Vision Engineer

Hawthorne, NY · On-site

$130K - $180K/yr

Develop, implement, and optimize computer vision and image processing algorithms for medical ... Strong programming skills in Python and/or C++ * Experience with computer vision and image ...

New

Define and execute test plans for Computer Vision applications, image/video processing workflows ... Work closely with developers, Computer Vision engineers, architects, product managers, DevOps, ...

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead ... Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator ...

Showing results 21-40

Computer Vision Video Processing Engineer information

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$48.5K

$121.5K

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How much do computer vision video processing engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for computer vision video processing engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Computer Vision Video Processing Engineer jobs?

For Computer Vision Video Processing Engineer jobs, the most frequently searched job titles are:

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees

$80K/yr

Full-time

Life, Retirement, PTO

Re-posted 11 days ago


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


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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