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Computer Vision Scientist Jobs (NOW HIRING)

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118.40K - $139.60K/yr

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118.40K - $139.60K/yr

Required : • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or ... vision and video processing algorithms. • Solid understanding of SoC architecture, including ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Required : • Bachelor's degree in Computer Science, Electrical Engineering, or a related field. • 3-5 years of hands-on experience developing computer vision applications or libraries. • Strong ...

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a plus). Strong experience with computer vision frameworks and libraries (e.g ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118.20K - $139.40K/yr

Required : • BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. • Strong knowledge of 3D computer vision concepts, including multi ...

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Computer Vision Scientist information

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$50.5K

$111.3K

$137.5K

How much do computer vision scientist jobs pay per year?

As of May 30, 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 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.

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.

More about Computer Vision Scientist jobs
What cities are hiring for Computer Vision Scientist jobs? Cities with the most Computer Vision Scientist job openings:
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
Infographic showing various Computer Vision Scientist job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computer Vision Scientist, EIARC

Computer Vision Scientist, EIARC

University Hospitals

Cleveland, OH

Full-time

Posted 5 days ago

University Hospitals rating

7.2

Company rating: 7.2 out of 10

Based on 602 frontline employees who took The Breakroom Quiz

329th of 864 rated healthcare providers

Job description

DescriptionA Brief Overview

The Computer Vision Scientist help propel the University Hospital of Cleveland, Eye Image Analysis Reading Centers (EIARC) to the next level in the analysis of ophthalmic images. The Eye Image Analysis Reading Centers (EIARC) is one the leading eye image analysis reading centers in the United States advancing the field of ophthalmology through its federal and corporate studies. The EIARC mission is to provide superior image analysis and trial development support for clinical trials and studies examining the effects of drugs, devices and diseases on the cornea and the retina. The Computer Vision Scientist will be a part of our AI R&D initiatives which are focused on ophthalmic image analyses. In this role, you'll design and apply cutting-edge AI models to clinical trials research and biomarker discovery.

What You Will Do
  • Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans.
  • Build scalable pipelines for feature extraction, quantification, and visualization from various ophthalmic images and other biomedical data types.
  • Research, design, develop and implement statistical and deep learning models, and advanced analytics to extract biologically and clinically relevant features from ophthalmic images and data and support key strategic initiatives.
  • Work with foundation model embeddings to power discovery, classification, and search across large-scale datasets.
  • Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users
  • Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data.
  • Collaborate with ophthalmic industry and academic stakeholders to understand real-world challenges and co-create translational solutions.
  • Support the EIARC leadership team in customer discussions, shaping AI strategy and solutions that meet data needs across discovery, translational, and clinical programs.
  • Mentor junior researchers through research projects fostering CWRU biomedical engineering students’ interest in research, AI, and image analysis.
  • Collaborate with University Hospitals (UH) and CWRU IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training.
  • Stay current on the latest developments in AI, digital imaging, and pharmaceutical applications.
Additional Responsibilities
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • For specific duties and responsibilities, refer to documentation provided by the department during orientation.
  • Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
QualificationsEducation
  • Master's Degree MS or PhD in Computer Science, Engineering or other related fields. (Required)
Work Experience
  • less than 1 year Experience working with complex analytic situations or big data environments. (Required)
Knowledge, Skills, & Abilities
  • Experience working with complex analytic situations or big data environments. (Required proficiency)
  • Healthcare (Hospital/Health System, Payor, or Life Sciences) experience. (Preferred proficiency)
  • At least one scientific computing language such as Python (e.g. pytorch, scikit-learn, pandas, scikit-image, keras, tensorflow) or R (e.g. caret, dplyr, ggplot2). (Required proficiency)
  • Experience with relational databases and SQL queries. (Required proficiency)
  • Knowledge of or experience working with image processing. (Required proficiency)
  • Experience collaborating with both junior and senior team members. (Required proficiency)
  • Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency)
Physical Demands
  • Standing Occasionally
  • Walking Occasionally
  • Sitting Constantly
  • Lifting Rarely up to 20 lbs
  • Carrying Rarely up to 20 lbs
  • Pushing Rarely up to 20 lbs
  • Pulling Rarely up to 20 lbs
  • Climbing Rarely up to 20 lbs
  • Balancing Rarely
  • Stooping Rarely
  • Kneeling Rarely
  • Crouching Rarely
  • Crawling Rarely
  • Reaching Rarely
  • Handling Occasionally
  • Grasping Occasionally
  • Feeling Rarely
  • Talking Constantly
  • Hearing Constantly
  • Repetitive Motions Frequently
  • Eye/Hand/Foot Coordination Frequently
Travel Requirements
  • 10% Conference & Outreach Activities

What University Hospitals employees say

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About University Hospitals

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For more than 155 years, University Hospitals has been on a mission to heal, teach and discover. As a renowned academic medical center and community hospital network, we’ve expanded across Northeast Ohio to deliver what matters most to our patients: personalized, compassionate care; medical discovery and breakthroughs; and high-quality, affordable care close to home.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1866

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