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Computer Vision Researcher Jobs (NOW HIRING)

Weekday AI

Computer Vision Expert

$80 - $110/hr

This role is for one of our clients Compensation: $80-$110 per hour Join a cutting-edge AI research ... We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA

$216K - $394K/yr

The Video Computer Vision and Video Engineering teams are centralized applied research and ... We balance research and product development to deliver Apple quality, state-of-the-art experiences.

Nutanix

Computer Vision Engineer

San Diego, CA · On-site

$150 - $200/hr

Principal Duties and ResponsibilitiesLeverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

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

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

We balance research and product development to deliver Apple quality, state-of-the-art experiences. We innovate across the full stack and partner with hardware and software teams to influence SW ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

This role bridges research and production-you'll take ML models from development through deployment ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users. Computer Vision Engineer Responsibilities:

AIToolboard

Computer Vision Engineer

Bellevue, WA · On-site

$125 - $150/hr

/Computer Vision Engineer# Computer Vision EngineerSID Global SolutionsBellevue, USFull-time## About ... Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives ...

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision ... Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.

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Computer Vision Researcher information

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$30K

$113.1K

$164.5K

How much do computer vision researcher jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer vision researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a computer vision researcher do?

A Computer Vision Researcher develops algorithms and models that enable computers to interpret and understand visual information from the world, such as images and videos. They work on tasks like object detection, image segmentation, and facial recognition, often using techniques from machine learning and artificial intelligence. Their work is applied in fields such as autonomous vehicles, medical imaging, robotics, and augmented reality. Computer Vision Researchers typically conduct experiments, publish scientific papers, and collaborate with engineers to implement their findings in real-world applications.

What are the key skills and qualifications needed to thrive as a computer vision researcher?

To thrive as a Computer Vision Researcher, you need a strong background in mathematics, machine learning, image processing, and typically a graduate degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python or C++), and familiarity with relevant research publications are highly valued. Creativity, problem-solving abilities, and strong communication skills help researchers innovate and effectively share findings. These competencies are vital for advancing technology, developing novel algorithms, and collaborating within multidisciplinary teams.

What are some common challenges faced by computer vision researchers when transitioning from theoretical research to practical applications?

Computer Vision Researchers often encounter challenges when moving from theoretical models to real-world deployment, such as dealing with noisy or incomplete data, ensuring scalability, and optimizing models for real-time performance. Collaborative work with software engineers and domain experts is crucial to address these issues and to adapt state-of-the-art algorithms for production environments. Additionally, staying updated with rapidly evolving tools and frameworks is essential for successfully bridging the gap between research and application.

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

AspectComputer Vision ResearcherMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Employer & Industry UsageUniversities, research institutions, AI-focused companiesTechnology firms, software companies, AI product development
Common Search & ComparisonYesYes

While both roles involve AI and machine learning, a Computer Vision Researcher primarily focuses on developing algorithms for visual data analysis and often works in research settings. In contrast, a Machine Learning Engineer applies machine learning techniques to build scalable AI products and solutions in industry environments.

More about Computer Vision Researcher jobs

What states have the most Computer Vision Researcher jobs?

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

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

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

Computer Vision Researcher jobs near you
Infographic showing various Computer Vision Researcher job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Applied Medicalexternal

$100 - $125/hr

Other

Retirement, PTO

Re-posted 8 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Position Description

The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.

Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time
Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation
Position Requirements

This position requires the following skills and attributes:

  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands‑on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit‑learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
Preferred
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real‑time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
Benefits
  • Competitive compensation range: $80,000 - $140,000 / year (California)
  • Comprehensive benefits package
  • Training and mentorship opportunities
  • On‑campus wellness activities
  • Education reimbursement program
  • 401(k) program with discretionary employer match
  • Generous vacation accrual and paid holiday schedule
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