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Computer Vision Researcher Jobs (NOW HIRING)

Meta

Research Engineer, Computer Vision

Sunnyvale, CA

$183K/yr

Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences ...

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 ...

Qualcomm Technologies

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

$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 ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

In this role, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on ...

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

$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:

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives ... Must-Have Qualifications Proven experience in computer vision (CV) and machine learning (ML ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Deliver artifacts (research, schematics,prototypes, 3D models, analysis, test plans, narratives ... Proven experience in computer vision (CV)and machine learning (ML) integration for real-time ...

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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 Aug 19, 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 job categories do people searching Computer Vision Researcher jobs look for?

The top searched job categories for Computer Vision Researcher jobs are:

Computer Vision Researcher jobs near you
Infographic showing various Computer Vision Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

CVTS - Computer Vision Research - Research Scientist

AIToolboard

Bethesda, MD • On-site

$120 - $160/hr

Other

Posted yesterday

New

Job description

Jobs / CVTS - Computer Vision Research - Research Scientist

CVTS - Computer Vision Research - Research Scientist

Full-time

About the Role

We are seeking a Scientific, Engineering, and Technical Assistance (SETA) Support Specialist to join our team in support of a government research organization dedicated to investing in high-risk, high-payoff research programs to tackle some of the most difficult challenges of national security.The successful candidate will support the government program managers in the execution of the lifecycle of various research programs to include development of source selection materials, execution assistance, closeout, and transition. The SETA should be competent in Research and Development (R&D) programmatic reviews and procedures. The candidate will also be responsible for ensuring that project management best practices are followed by the individual programs to include performers, independent verification and validation (IV&V) entities, and within the government research organization itself.The research programs you would support focus on developing advanced sensor and transmission technologies, innovative collection techniques that more precisely target desired information, and methods for collecting information from previously inaccessible sources. Additional efforts explore new approaches for integrating information from multiple sources to improve the quality, reliability, and operational utility of collected data.

Responsibilities
  • Support the program managers in coordination, monitoring, communication, and integration of all technical aspects of the Program lifecycle that includes:
  • Coordinate across government, academic, and industry research teams.
  • Review and assess technical deliverables, milestones, and evaluation results.
  • Track risks, dependencies, and integration issues across performers.
  • Prepare reports, technical summaries, and briefings for senior leadership.
  • Serve as a liaison between performers, Test & Evaluation contributors, government and transition partners;
  • Provide support for program related requirements for systems integration, design, development, modeling and simulation, data analytics and architecture design;
  • Stay current on advances in technologies relevant to the research programs and perform technical studies as requested on topics of interest to the program managers.
  • Provide technical support and expertise on new concepts relevant to the program managers.
  • Support the evaluation of Seedling concepts
Qualifications

Required:

  • Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with eight plus (8+) years of work experience in one of these fields, or Masters' degree with two plus (2+) years of work experience.
  • Two (2) years of experience in the development of trajectory analytics or human mobility modeling.
  • Two (2) years of experience with R&D of spatiotemporal data modeling.
  • Two (2) years of experience with R&D of machine learning algorithms.
  • One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
  • Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
  • Ability to proactively manage multiple, concurrent tasks.
  • Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
  • Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
  • Strong organizational, problem solving, and time management skills. Must be detail oriented.
Desired
  • Masters' degree or PhD in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with four plus ( 4+) years of work experience.
  • Two (2) years of experience with microsimulation of human mobility.
  • Two (2) years of experience with architectures to support large spatiotemporal data management and processing.
  • Two (2) years of experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition.
  • Four (4) years of experience managing a multi-disciplinary research and development(R&D) or Test and Evaluation (T&E) team.
  • Four (4) years of experience with R&D of machine learning algorithms.
  • One (1) year of experience as a Project Manager or Deputy Project Manager
  • Two (2) years of experience with utilization, development, and management of cloud environments and/or classified commercial cloud environments.
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