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Online Computer Vision Jobs in California (NOW HIRING)

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection ... Experience developing and designing Computer Vision and/or Machine Learning technologies and ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection ... Experience developing and designing Computer Vision and/or Machine Learning technologies and ...

CTC USA, LLC

Computer Vision Engineer

Mountain View, CA · On-site

$130K - $154K/yr

Computer Vision Engineer - Advanced Development & Planning Location: Mountain View, CA Duration: Long Term About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon-powered devices, from next-generation mobile phones to autonomous vehicles, IoT ...

Reliance One

Computer Vision Engineer

Mountain View, CA · On-site

$70 - $75/hr

Computer Vision Engineer Location: Mountain View, California (On-site) Employment Type: Contract Opportunity Pay: $70.00-$75.00/hour Schedule: Full-time Benefits: Medical Benefits Begin Day 1, Paid ...

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 ...

Meta

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 • ...

EE Recruiters

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

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 ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

In this role, you will design and implement computer vision solutions that track objects and motion using high-speed, multi-camera data in a hardware-integrated environment. What You'll Do * Develop ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA

$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

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain * Exposure to the full CV pipeline, from raw data and annotation to deployed model * Mentorship from ...

Sentradel

Computer Vision Engineer

San Francisco, CA · On-site

$120K - $210K/yr

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

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Online Computer Vision information

What is an Online Computer Vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What is the difference between Online Computer Vision vs Computer Vision Engineer?

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

What are the key skills and qualifications needed to thrive as an Online Computer Vision Engineer, and why are they important?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.
What are the most commonly searched types of Computer Vision jobs in California? The most popular types of Computer Vision jobs in California are:
What are popular job titles related to Online Computer Vision jobs in California? For Online Computer Vision jobs in California, the most frequently searched job titles are:
What job categories do people searching Online Computer Vision jobs in California look for? The top searched job categories for Online Computer Vision jobs in California are:
What cities in California are hiring for Online Computer Vision jobs? Cities in California with the most Online Computer Vision job openings:
Online Computer Vision jobs near you
Computer Vision Engineer

Computer Vision Engineer

Meta

Sunnyvale, CA

$183K/yr

Full-time

Posted 10 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virtual reality (AR/VR) products. RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward through relentless innovation. Our XR Tech organization is focused on advanced research and development of machine perception technologies from early concepts to production level across all of Meta's AR/VR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more.In this role, you will be researching and applying a range of software, computer vision, and machine learning techniques for solving challenges that bridge the virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, hand tracking, micro-gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RLR).
Computer Vision Engineer Responsibilities:
  • Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
  • Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production
  • Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product
  • Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics
  • Participate in cutting-edge research in computer vision that can be applied to AR/VR product development
  • Define and scope projects for other engineers, providing technical direction and success criteria

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, relevant technical field, or equivalent practical experience
  • 7+ years of industry experience in machine learning, computer vision, or related fields
  • Experience shipping ML models to production, including the full ML production cycle from development to deployment
  • Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation

Preferred Qualifications:
  • Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (SLAM) and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
  • Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
  • PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
  • Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)

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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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.

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