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Cvpr Iccv Jobs (NOW HIRING)

NEC Labs

MA - Researcher

San Jose, CA · On-site

The Media Analytics team publishes extensively at top-tier venues such as CVPR, ICCV or ECCV. To check out our latest work, please visit:

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

Required : • Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). • Deep expertise in Generative AI, Multi ...

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How much do cvpr iccv jobs pay per year?

As of Jun 10, 2026, the average yearly pay for cvpr iccv in the United States is $112,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Cvpr Iccv vs Computer Vision Research Scientist?

AspectCvpr IccvComputer Vision Research Scientist
Required credentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fieldsMaster's or PhD in Computer Science, Electrical Engineering, or related fields
Work environmentAcademic conferences, research labs, industry R&D teamsResearch labs, tech companies, academia
Industry usagePresentation and publication of research findings, networkingDeveloping computer vision algorithms, publishing research, product development

Both Cvpr Iccv and Computer Vision Research Scientist roles involve advanced research in computer vision, requiring similar educational backgrounds. Cvpr and Iccv are major conferences where research is presented, while a Computer Vision Research Scientist applies this research in practical settings. The main difference lies in Cvpr and Iccv being conference events, whereas the Research Scientist is a job role focused on applying and developing computer vision technologies.

What are the key skills and qualifications needed to thrive as a Computer Vision Researcher (CVPR/ICCV), and why are they important?

To thrive as a Computer Vision Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by a graduate degree in a related field. Proficiency with programming languages like Python or C++, and experience with deep learning frameworks such as TensorFlow or PyTorch, are essential, along with a track record of publishing research in conferences like CVPR or ICCV. Creativity, critical thinking, and effective communication are vital soft skills for innovating and collaborating within multidisciplinary research teams. These skills enable researchers to develop cutting-edge solutions, advance the field, and disseminate impactful findings.

What are the typical responsibilities and collaborative opportunities for someone presenting research at CVPR or ICCV?

Presenting at CVPR or ICCV involves not only preparing and delivering your research presentation but also actively engaging with the global research community. You will answer questions about your work, participate in poster sessions, and network with peers and industry leaders, which can lead to potential collaborations. Additionally, you may attend workshops, tutorials, and panel discussions, further expanding your knowledge and professional connections. This role often requires strong communication skills and the ability to clearly convey complex technical concepts.

What are CVPR and ICCV?

CVPR (Conference on Computer Vision and Pattern Recognition) and ICCV (International Conference on Computer Vision) are two of the most prestigious conferences in the field of computer vision and artificial intelligence. Organized by the IEEE and the Computer Vision Foundation, these conferences bring together researchers and professionals to present the latest advancements in image processing, machine learning, and computer vision technologies. Publishing at CVPR or ICCV is highly regarded and often considered a mark of excellence in the academic and research communities.
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Cvpr Iccv jobs near you
Infographic showing various Cvpr Iccv job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 95% Full Time, and 1% Part Time. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $112,254 per year, or $54 per hour.
Head of Vision Intelligence

Head of Vision Intelligence

Samsung Research America

Mountain View, CA • On-site

Other

Posted 11 days ago

Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

105th of 139 rated electronics manufacturers

Job description

Lab Summary:

Samsung Research America plays a pivotal role in developing the next generation technology in software, user experience, and services for future products that can enrich the consumer's life.

Position Summary:

As the Head of Vision Intelligence in SRA AI Center in Mountain View, which is part of the Global AI Center of Samsung Research, this position is responsible for directing the research and development of Computer Vision technology to contribute critical business needs for Samsung Electronics.

Position Responsibilities:

  • Lead AI core technology research and development in order to prepare company's future and differentiate current business
  • Together with Samsung Research teams, look for opportunities to revolutionize Samsung products with the new AI technology
  • Ensure that Centers publish at top conferences and journals (CVPR, ICCV, ECCV, TPAMI, and similar), satisfy patents & paper goals and organize scientific events (conferences, workshops and challenges)

 Required Skills:

  • PhD degree and 12+ years' work experience in Computer Vision related field or equivalent combination of education, training, and experience
  • Understanding of state-of-the-art Computer Vision theories, techniques, optimization strategies (Generative AI Engine & Applications, Image Processing/Search/Generation, Image/Video related solution)
  • Industry experience leading innovative projects in research environments
  • Strong communication skills with Samsung's global R&D teams and Interpersonal skills to manage centers consisting of engineers and researchers
  • Experience and success technically leading teams of machine learning/computer vision specialists, CV-related product development, problem solving and algorithm with deep learning frameworks
  • Strong background in programming
  • Publications in CV-related fields (CVPR, ICCV, ECCV, TPAMI, and etc.) (Nice to have)

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