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Computer Vision Jobs in Irvine, CA (NOW HIRING)

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118K - $139K/yr

The Computer Vision Engineer will develop advanced perception systems for autonomous aerial platforms, integrating computer vision algorithms with robotics principles to solve complex challenges in ...

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Computer Vision information

See Irvine, CA salary details

$36K

$51.8K

$68.2K

How much do computer vision jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are popular job titles related to Computer Vision jobs in Irvine, CA? For Computer Vision jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Irvine, CA look for? The top searched job categories for Computer Vision jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Computer Vision jobs? Cities near Irvine, CA with the most Computer Vision job openings:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Irvine, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $51,843 per year, or $24.9 per hour.
Computer Vision Engineer

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$120K - $142K/yr

Full-time

Posted 12 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

Job Summary:
Applied Medical is a new generation medical device company committed to innovation and excellence in healthcare. The Computer Vision Engineer will develop and optimize algorithms for image and video analysis, integrating scalable solutions into real-world products while enhancing model accuracy and system efficiency.
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
Qualifications:
Required:
• 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:
• 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)
Company:
As a new generation medical device company, Applied Medical is focused on meeting three fundamental healthcare needs: enhanced clinical outcomes, cost containment and unrestricted choice. Founded in 1987, the company is headquartered in Rancho Santa Margarita, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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