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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Computer Vision Engineer
Santa Clara, CA · On-site
$131K - $155K/yr
S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing
Computer Vision Engineer
Santa Clara, CA · On-site
$131K - $155K/yr
S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing
Computer Vision Engineer
Burlingame, CA · On-site
$183K - $257K/yr
... computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking • Experience with model optimization for edge/on-device deployment • ...
Computer Vision Engineer
Burlingame, CA · On-site
$183K - $257K/yr
... computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking • Experience with model optimization for edge/on-device deployment • ...
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.
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.
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 ...
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 ...
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.
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.
Computer Vision Engineer
$131K - $155K/yr
S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing
Computer Vision Engineer
$131K - $155K/yr
S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing
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
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
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
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
We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with ...
We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with ...
Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences ...
Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences ...
We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with ...
We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with ...
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 ...
Quick apply
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 ...
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 ...
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 ...
Computer Vision Engineer
$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.
Computer Vision Engineer
$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.
Computer Vision & Machine Learning Engineer
Sunnyvale, CA · On-site
$130K - $154K/yr
We are a team of computer vision and machine learning engineers building real-time perception systems, motion synthesis, and human understanding technologies for current and future Apple products.
Computer Vision & Machine Learning Engineer
Sunnyvale, CA · On-site
$130K - $154K/yr
We are a team of computer vision and machine learning engineers building real-time perception systems, motion synthesis, and human understanding technologies for current and future Apple products.
Real-Time Computer Vision Architect
$184K - $324K/yr
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...
Real-Time Computer Vision Architect
$184K - $324K/yr
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...
Computer Vision information
See San Jose, CA salary details
$39.3K - $42.5K
1% of jobs
$45.4K is the 25th percentile. Wages below this are outliers.
$42.5K - $45.7K
26% of jobs
$45.7K - $48.9K
4% of jobs
$48.9K - $52K
3% of jobs
$52K - $55.2K
11% of jobs
The median wage is $56.3K / yr.
$55.2K - $58.4K
15% of jobs
$58.4K - $61.6K
11% of jobs
$63.3K is the 75th percentile. Wages above this are outliers.
$61.6K - $64.8K
8% of jobs
$64.8K - $68K
8% of jobs
$68K - $71.2K
12% of jobs
$71.2K - $74.4K
1% of jobs
$39.3K
$56.6K
$74.4K
How much do computer vision jobs pay per year?
What is a computer vision?
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 does a computer vision professional do?
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.
What are the key skills and qualifications needed to thrive in computer vision?
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.
Is computer vision a good career?
What are computer vision jobs?
What are the most commonly searched types of Computer Vision jobs in San Jose, CA?
The most popular types of Computer Vision jobs in San Jose, CA are:
What are popular job titles related to Computer Vision jobs in San Jose, CA?
For Computer Vision jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in San Jose, CA look for?
The top searched job categories for Computer Vision jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Computer Vision jobs?
Cities near San Jose, CA with the most Computer Vision job openings:

Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
139th of 246 rated software companies
Job description
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 teams including research, hardware, product, and platform engineering to integrate models into shipping products
- Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
- Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
- Define technical direction and mentor engineers on ML productization best practices
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Computer Science, 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 such as gesture recognition, pose estimation, or object tracking
- Experience with model optimization for edge/on-device deployment
- Track record of cross-functional collaboration to deliver ML-powered features
Preferred Qualifications:
- Experience deploying ML models on edge devices
- Experience with gesture recognition, hand tracking, or human pose estimation
- Background in real-time inference, model compression, or quantization techniques
- 5+ years of industry experience in machine learning or computer vision
- MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
- Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US