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Computer Vision Image Processing Jobs (NOW HIRING)

Cohu

Sr. Vision Software Engineer

San Diego, CA

$125.90K - $165.90K/yr

Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification. * Engineer ...

Cohu

Sr. Vision Software Engineer

San Diego, CA · On-site

$125.90K - $165.90K/yr

Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification. * Engineer ...

Cohu

Sr. Vision Software Engineer

San Diego, CA

$130.10K - $171.50K/yr

Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification. * Engineer ...

Google

Image Processing Engineer

Mountain View, CA · On-site

They are seeking an Image Processing Engineer to optimize image quality across hardware and ... computer vision, or related technical environment. • Experience with Python and C++ for algorithm ...

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How much do computer vision image processing jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for computer vision image processing in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Image Processing Specialist, and why are they important?

To thrive as a Computer Vision Image Processing Specialist, you need strong foundations in mathematics, programming (especially Python or C++), and a relevant degree in computer science, engineering, or a related field. Familiarity with technical tools like OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and frameworks are crucial, as are certifications in machine learning or deep learning. Analytical thinking, creativity, and effective problem-solving help individuals excel in developing and optimizing complex visual algorithms. These skills are essential for accurately interpreting visual data, driving innovation, and delivering robust solutions across various industries.

What are some typical challenges faced by professionals in Computer Vision Image Processing roles, and how can they be addressed?

Professionals in Computer Vision Image Processing often encounter challenges such as dealing with noisy or incomplete data, ensuring real-time performance, and adapting models to work across diverse environments and lighting conditions. Addressing these challenges typically involves using data augmentation techniques, optimizing algorithms for efficiency, and leveraging transfer learning to improve model robustness. Collaboration with cross-functional teams, such as hardware engineers and software developers, is also vital to ensure solutions are both accurate and deployable in real-world applications.

What is computer vision image processing?

Computer vision image processing is a field of computer science that focuses on enabling computers to interpret and analyze visual information from the world, such as images and videos. It involves applying algorithms and techniques to process, enhance, and extract meaningful information from digital images. Common applications include object detection, facial recognition, image classification, and medical image analysis. The goal is to automate tasks that the human visual system can perform, making it possible for machines to 'see' and understand visual data.

What is the difference between Computer Vision Image Processing vs Image Analysis Specialist?

AspectComputer Vision Image ProcessingImage Analysis Specialist
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; knowledge of programming and algorithmsBachelor's or higher in Data Science, Computer Science, or related fields; expertise in image data interpretation
Work EnvironmentResearch labs, tech companies, manufacturing, healthcareResearch institutions, tech firms, healthcare, security
Industry UsageDeveloping algorithms for object detection, recognition, and image enhancementInterpreting image data for insights, diagnostics, or decision-making

Computer Vision Image Processing focuses on developing algorithms to manipulate and analyze images, while Image Analysis Specialists interpret image data to extract meaningful insights. Both roles require similar educational backgrounds and often work in overlapping industries, but their core objectives differ: processing versus analysis.

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Computer Vision Image Processing jobs near you
Infographic showing various Computer Vision Image Processing job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, 56% Part Time, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.
Image Data Scientist

Image Data Scientist

Dawar Consulting, Inc.

South San Francisco, CA

$60 - $65/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Our client, a world leader in life sciences and biotechnology, is looking for a “Image Data Scientist” based out of South San Francisco, CA.


Job Duration: Long Term Contract (Possibility Of Extension)



Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K


The Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology. This role will partner closely with pathologists and cross-functional scientists to develop and apply image processing, machine learning, and deep learning approaches to pathology data.


Key Responsibilities

  • Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
  • Process and analyze Whole Slide Images (WSI) using tools such as OpenSlide or similar.
  • Collaborate with pathologists and scientists to design image analysis workflows aligned with biological research questions.
  • Perform statistical analyses, data visualization, and support development of AI-driven pathology algorithms.
  • Contribute to computational tool development and workflow optimization.


Required Qualifications

  • MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
  • Strong Python programming skills including NumPy, Pandas, Scikit-learn, OpenCV.
  • Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics.
  • Hands-on experience with Whole Slide Image (WSI) analysis.
  • Expertise with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Experience working in HPC environments / SLURM.
  • Proficiency with Git/GitHub/GitLab version control.


Preferred Skills

  • Digital pathology platforms (HALO, Visiopharm, QuPath).
  • Object detection / segmentation tools (Detectron2).
  • Workflow orchestration (Dagster, Airflow).
  • Cloud computing exposure (AWS EC2).
  • GUI development using Tkinter or PyQt.




If interested, please send us your updated resume at

hr@dawarconsulting.com/akansha@dawarconsulting.com