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Computer Vision Researcher Jobs in California (NOW HIRING)

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

This role combines applied research with hands-on engineering and offers the opportunity to ... Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

You'll be embedded within both the R&D and software teams, helping to bring new vision-based technologies from concept to production. Your primary focus will be developing and deploying computer ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

This role combines applied research with hands-on engineering and offers the opportunity to ... Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... research insights into practical prototypes. • Collaborate with robotics, systems, and simulation ... computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene ...

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All JobsComputer Vision Researcher JobsComputer Vision Researcher Jobs in California

Computer Vision Researcher information

See California salary details

$29.6K

$111.6K

$162.3K

How much do computer vision researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What does a Computer Vision Researcher do?

A Computer Vision Researcher develops algorithms and models that enable computers to interpret and understand visual information from the world, such as images and videos. They work on tasks like object detection, image segmentation, and facial recognition, often using techniques from machine learning and artificial intelligence. Their work is applied in fields such as autonomous vehicles, medical imaging, robotics, and augmented reality. Computer Vision Researchers typically conduct experiments, publish scientific papers, and collaborate with engineers to implement their findings in real-world applications.

What are some common challenges faced by Computer Vision Researchers when transitioning from theoretical research to practical applications?

Computer Vision Researchers often encounter challenges when moving from theoretical models to real-world deployment, such as dealing with noisy or incomplete data, ensuring scalability, and optimizing models for real-time performance. Collaborative work with software engineers and domain experts is crucial to address these issues and to adapt state-of-the-art algorithms for production environments. Additionally, staying updated with rapidly evolving tools and frameworks is essential for successfully bridging the gap between research and application.

What is the difference between Computer Vision Researcher vs Machine Learning Engineer?

AspectComputer Vision ResearcherMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Employer & Industry UsageUniversities, research institutions, AI-focused companiesTechnology firms, software companies, AI product development
Common Search & ComparisonYesYes

While both roles involve AI and machine learning, a Computer Vision Researcher primarily focuses on developing algorithms for visual data analysis and often works in research settings. In contrast, a Machine Learning Engineer applies machine learning techniques to build scalable AI products and solutions in industry environments.

What are the key skills and qualifications needed to thrive as a Computer Vision Researcher, and why are they important?

To thrive as a Computer Vision Researcher, you need a strong background in mathematics, machine learning, image processing, and typically a graduate degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python or C++), and familiarity with relevant research publications are highly valued. Creativity, problem-solving abilities, and strong communication skills help researchers innovate and effectively share findings. These competencies are vital for advancing technology, developing novel algorithms, and collaborating within multidisciplinary teams.
What are popular job titles related to Computer Vision Researcher jobs in California? For Computer Vision Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Vision Researcher jobs in California look for? The top searched job categories for Computer Vision Researcher jobs in California are:
Computer Vision Researcher jobs near you
Infographic showing various Computer Vision Researcher job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.
Junior Computer Vision Engineer

Junior Computer Vision Engineer

Cesna Group

San Diego, CA • On-site

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

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
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
What's On Offer
  • - Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)
  • - 401(k) retirement plan (Immediately 100% vested)
  • - Generous PTO and paid holidays

Apply online or feel free to contact us directly for more information about the opportunity. Due to the high volume of applicant, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

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