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Computer Vision Scientist Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... 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

Master''s degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field. * Strong background in Computer Vision and Machine Learning. * Hands-on ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Experience developing and designing Computer Vision and/or Machine Learning technologies and ...

BWXT

Data Scientist, Computer Vision

Lynchburg, VA · On-site

Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Our team includes award winning engineers and scientists (Forbes AI 50, CVPR, SIGGRAPH) with ...

Reliance One

Computer Vision Engineer

Mountain View, CA · On-site

$70 - $75/hr

Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field. * Strong background in Computer Vision and Machine Learning.

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Master's or PhD in Computer Science, Electrical Engineering, or a related discipline. Minimum Skills * 3-5 years of hands-on experience developing computer vision applications or libraries. * Strong ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Our team includes award winning engineers and scientists (Forbes AI 50, CVPR, SIGGRAPH) with ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Collaborate with Scientists to createadvanced simulation models and perform "what-if" scenario ... Proven experience in computer vision (CV)and machine learning (ML) integration for real-time ...

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

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All JobsComputer Vision Scientist Jobs

Computer Vision Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do computer vision scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

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

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by Computer Vision Scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What are Computer Vision Scientists?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.
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What states have the most Computer Vision Scientist jobs? States with the most job openings for Computer Vision Scientist jobs include:
What job categories do people searching Computer Vision Scientist jobs look for? The top searched job categories for Computer Vision Scientist jobs are:
Computer Vision Scientist jobs near you
Computer Vision Engineer

Computer Vision Engineer

Meta

Burlingame, CA

$183K/yr

Full-time

Posted 6 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th 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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