ZipRecruiter

Log In

1

Computer Vision Developer Jobs (NOW HIRING)

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for sensors and displays * Design and prototype automation for calibration in collaboration with ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH) * Dr.

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

The Computer Vision Engineer will lead the end-to-end development of AI models and production-ready solutions for sustainability claim verification. The role combines computer vision, YOLO-based logo ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for sensors and displays * Design and prototype automation for calibration in collaboration with ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

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 ... Azure ML DevOps pipelines for automated training and deployment

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 ... Azure ML DevOps pipelines for automated training and deployment

1872 Consulting

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Job Summary : 1872 Consulting is seeking a Senior Computer Vision Engineer to design and implement innovative computer vision solutions for satellite imagery analytics. The role involves conducting ...

Indotronix Avani Group

Computer Vision Engineer

Corning, NY · On-site

$94K - $111K/yr

... vision technologies to deliver reliable, production‑ready measurement systems. Required Education & Experience: * Prefer BS, MS, or PhD in Computer Science, Software Engineering, Electrical ...

New

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Observable

$82K - $97K/yr

We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer ... About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision Developer Jobs

Computer Vision Developer information

See salary details

$17

$52

$81

How much do computer vision developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for computer vision developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a computer vision developer?

A Computer Vision Developer is a software engineer who specializes in creating applications and systems that can interpret and process visual information from the world, such as images or videos. They use techniques from artificial intelligence and machine learning to enable computers to identify objects, track movements, and understand scenes. Their work powers technologies such as facial recognition, autonomous vehicles, and augmented reality. Typically, they have expertise in programming languages like Python or C++, and are familiar with frameworks such as OpenCV or TensorFlow.

What are some common challenges faced by computer vision developers in deploying models to production environments?

Computer Vision Developers often encounter challenges such as optimizing models for real-time performance, handling diverse and noisy data from real-world sources, and ensuring models are robust across various hardware platforms. Integrating computer vision solutions into existing systems may require close collaboration with DevOps and backend engineers to address issues like latency, scalability, and security. Staying updated with rapidly evolving frameworks and hardware accelerators is also essential to maintain high-quality deployments.

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

To excel as a Computer Vision Developer, you need a solid background in computer science, linear algebra, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with programming languages like Python or C++, and tools such as OpenCV, TensorFlow, or PyTorch, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you innovate and deliver robust solutions. These competencies are crucial for developing, optimizing, and deploying advanced visual recognition systems that meet real-world application needs.

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

AspectComputer Vision DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, specialized in computer vision or image processingBachelor's or Master's in CS, data science, or related fields with ML focus
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and structured data across industries
Employer & Industry UsageTech companies, robotics, automotive, healthcareTech firms, startups, finance, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Developers specialize in image and video analysis, whereas Machine Learning Engineers work on broader data modeling across multiple data types. The roles often overlap but differ in focus and application areas.

More about Computer Vision Developer jobs

What states have the most Computer Vision Developer jobs?

States with the most job openings for Computer Vision Developer jobs include:

What are popular job titles related to Computer Vision Developer jobs?

For Computer Vision Developer jobs, the most frequently searched job titles are:

Computer Vision Developer jobs near you
Infographic showing various Computer Vision Developer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Computer Vision Engineer - 3D

Irvine, CA • On-site

Stark Pharma Solutions Inc
See more jobs at Stark Pharma Solutions Incexternal

$119K - $141K/yr

Contractor

Re-posted 8 days ago

Job description

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

Location: Irvine, CA (Hybrid)

Duration: 12-Month Contract

Schedule: Monday – Friday | 8:00 AM – 5:00 PM PST

Position Overview

We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting-edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

  • Lead validation activities for 3D facial capture and imaging systems.
  • Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
  • Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
  • Document findings and communicate results to technical and business stakeholders.
  • Computer Vision & Digital Endpoint Development
  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
  • Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
  • Support the development of clinically relevant outcome measures using advanced image analysis techniques.
  • Establish best practices for data preprocessing, quality control, and feature engineering.
  • Machine Learning & Data Science
  • Build, train, and evaluate machine learning models using 3D imaging datasets.
  • Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
  • Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
  • Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
  • Cross-Functional Collaboration
  • Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
  • Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
  • Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
  • 3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
  • Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with:
  • 3D Meshes
  • Point Clouds
  • Depth Maps
  • Photogrammetry Data
  • Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
  • Strong background in statistical analysis, validation methodologies, and experimental design.
  • Excellent communication and technical documentation skills.