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Computer Vision Engineering Jobs (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$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.

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 ...

Motorola

Director of Computer Vision

Indiana, PA · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

Virginia, IL

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

Washington, DC

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

Tennessee, IL · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

Las Vegas, NV · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

New York, NY

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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.

Motorola

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

California, MD · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Computer Vision

Florida, NY · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... engineering to integrate models into shipping products • Optimize ML models for on-device ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

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 ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Computer Vision Engineer Location: Bellevue, WA. Job Type: Full-time Description: * SID global ... Successful candidates are natural self-starters who have prior Hardware engineering experience in ...

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All JobsComputer Vision Engineering Jobs

Computer Vision Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer vision engineering jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer vision engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision Engineering vs Machine Learning Engineering?

AspectComputer Vision EngineeringMachine Learning Engineering
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of image processing and computer vision librariesBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentDeveloping algorithms for image/video analysis, object detection, and scene understandingBuilding models for various data types, including images, text, and tabular data
Employer & Industry UsageTech companies, robotics, automotive, healthcare, securityTech firms, finance, healthcare, e-commerce, research institutions

Computer Vision Engineering focuses on developing algorithms for interpreting visual data, while Machine Learning Engineering covers a broader range of data types and applications. Both roles require strong programming skills and often overlap in skills and tools, but their primary focus and industry applications differ.

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 solid background in mathematics, programming (especially Python or C++), and machine learning, typically backed by a degree in computer science or a related field. Familiarity with tools such as OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and deep learning frameworks is essential. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing innovative computer vision solutions and collaborating across multidisciplinary teams to solve complex visual recognition challenges.

What is computer vision engineering?

Computer vision engineering is a field within artificial intelligence that focuses on enabling computers and systems to interpret and process visual information from the world, such as images and videos. Computer vision engineers develop algorithms and models that allow machines to identify, classify, and analyze visual data, often for applications like facial recognition, autonomous vehicles, medical imaging, and industrial automation. They work with large datasets, deep learning frameworks, and various programming languages to build and optimize these intelligent systems.

What are the typical challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring models perform accurately on real-world data, optimizing inference speed for deployment on various hardware, and managing large-scale image or video data pipelines. Additionally, integrating computer vision solutions with existing backend systems and maintaining model performance as data evolves can be complex. Collaboration with data engineers, software developers, and QA teams is essential to address these issues and ensure robust, scalable deployment.
More about Computer Vision Engineering jobs
What job categories do people searching Computer Vision Engineering jobs look for? The top searched job categories for Computer Vision Engineering jobs are:
Computer Vision Engineering jobs near you
Infographic showing various Computer Vision Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA • On-site

$119K - $141K/yr

Contractor

Re-posted 13 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.