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Computer Vision Engineer Jobs in California (NOW HIRING)

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Avala AI, Inc

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Role As a 3D Computer Vision Engineer at Avala AI, you will design and implement state-of-the-art solutions for offline and online 3D reconstruction and scene understanding that are robust ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

  • Medical

  • Retirement

  • PTO

As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and deployment of computer vision models and inference pipelines running on both cloud and edge devices. In ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in California

Computer Vision Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in California?

The most popular types of Computer Vision Engineer jobs in California are:

What are popular job titles related to Computer Vision Engineer jobs in California?

For Computer Vision Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in California look for?

The top searched job categories for Computer Vision Engineer jobs in California are:

What cities in California are hiring for Computer Vision Engineer jobs?

Cities in California with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 8 days ago

Job description


AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.

Apply