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Computer Vision Research Assistant Jobs in Irvine, CA

RadNet

Research Assistant

Anaheim, CA · On-site

$23 - $24/hr

When you join us as a Research Assistant , you will be joining a dedicated team of professionals ... Comprehensive Medical, Dental and Vision coverages. * Health Savings Accounts with employer funding.

Keck Graduate Institute

Research Assistant

Claremont, CA · On-site

$18.90/hr

Research Assistant Position Overview: This position will perform experiments and AI modeling for ... Proficient computer, online system, and web skills. * Strong work ethic and team-based approach to ...

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Computer Vision Research Assistant information

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$36K

$51.8K

$68.2K

How much do computer vision research assistant jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision research assistant in Irvine, CA is $51,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $59,600.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are popular job titles related to Computer Vision Research Assistant jobs in Irvine, CA?

For Computer Vision Research Assistant jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Research Assistant jobs in Irvine, CA look for?

The top searched job categories for Computer Vision Research Assistant jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Computer Vision Research Assistant jobs?

Cities near Irvine, CA with the most Computer Vision Research Assistant job openings:

Computer Vision Research Assistant jobs near you

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$80K/yr

Full-time

Life, Retirement, PTO

Re-posted 20 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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