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Computer Vision Engineer Jobs in Alameda, CA (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

Menlo Park, CA · On-site

$131K - $155K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

Mill

Computer Vision Engineer

San Bruno, CA

$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 ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring. In this role ...

Mill

Computer Vision Engineer

San Bruno, CA

$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

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

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 ...

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

$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.

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

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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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Alameda, CA

Computer Vision Engineer information

See Alameda, CA salary details

$55K

$137.7K

$155.8K

How much do computer vision engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computer vision engineer in Alameda, CA is $137,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,400.00 and $149,000.00 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

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The top searched job categories for Computer Vision Engineer jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Computer Vision Engineer jobs?

Cities near Alameda, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $137,721 per year, or $66.2 per hour.

Computer Vision Engineer

Meta

Burlingame, CA • On-site

$125K - $148K/yr

Full-time

Re-posted 15 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur...

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