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Temp Medical Image Processing Jobs in California

Apple

Camera Tuning & Image Quality Engineer

Bodega Bay, CA · On-site

$118K - $207K/yr

The ideal candidate will have a robust understanding of various image processing algorithms, new ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

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All JobsMedical Image Processing JobsTemp Medical Image Processing JobsTemp Medical Image Processing Jobs in California

Temp Medical Image Processing information

What is a temp medical image processing?

Temp Medical Image Processing jobs involve working on a temporary basis to analyze, enhance, and interpret medical images such as X-rays, MRI scans, and CT scans using specialized software. These roles often support healthcare professionals by preparing images for diagnosis or research, ensuring image quality, and sometimes assisting with data management. Temporary positions are typically offered to help with increased workloads, special projects, or to cover staff absences. Candidates usually need a background in medical imaging, computer science, or related fields, and familiarity with medical imaging software. Temp Medical Image Processing jobs can be found in hospitals, research institutions, and medical imaging companies.

What are the typical responsibilities and challenges faced in a temp medical image processing role?

In a Temp Medical Image Processing position, you will primarily be responsible for preparing, analyzing, and enhancing medical images using specialized software to support clinical or research teams. Common challenges include quickly adapting to varying protocols, maintaining high accuracy while processing large volumes of images, and adhering to strict privacy and data security standards. You'll often collaborate closely with radiologists, technicians, and IT professionals to ensure timely and accurate delivery of processed images. This role provides a valuable opportunity to gain hands-on experience with advanced imaging technologies and can serve as a stepping stone to more permanent positions in medical imaging or healthcare IT.

What are the key skills and qualifications needed to thrive as a temp medical image processing specialist, and why are they important?

To thrive as a Temp Medical Image Processing Specialist, you need a background in medical imaging, image analysis, and an understanding of anatomy, often supported by a degree in radiologic technology or a related field. Experience with imaging software such as PACS, DICOM viewers, and processing tools like MATLAB or Python is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for accurately interpreting images and collaborating with medical teams. These skills ensure precise image processing, support accurate diagnoses, and contribute to the efficiency of healthcare services.

What is the difference between Temp Medical Image Processing vs Medical Imaging Technician?

AspectTemp Medical Image ProcessingMedical Imaging Technician
CredentialsTypically requires certification in medical imaging software or related fieldsRequires ARRT certification or equivalent
Work EnvironmentOften temporary assignments in hospitals, clinics, or imaging centersFull-time or part-time roles in medical facilities
Employer & IndustryHospitals, imaging centers, medical contractorsHospitals, clinics, diagnostic labs
Job FocusProcessing and analyzing medical images using specialized softwareOperating imaging equipment and capturing images

Temp Medical Image Processing roles focus on handling and analyzing medical images through software, often on temporary assignments. Medical Imaging Technicians operate imaging equipment like MRI or CT scanners to produce diagnostic images. While both roles require knowledge of medical imaging, the technician role involves direct patient interaction and equipment operation, whereas temp image processing emphasizes software skills and temporary project-based work.

What are the most commonly searched types of Medical Image Processing jobs in California?

The most popular types of Medical Image Processing jobs in California are:

What are popular job titles related to Temp Medical Image Processing jobs in California?

For Temp Medical Image Processing jobs in California, the most frequently searched job titles are:

What job categories do people searching Temp Medical Image Processing jobs in California look for?

The top searched job categories for Temp Medical Image Processing jobs in California are:

What cities in California are hiring for Temp Medical Image Processing jobs?

Cities in California with the most Temp Medical Image Processing job openings:

Temp Medical Image Processing jobs near you
Infographic showing various Temp Medical Image Processing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$80 - $140/hr

Other

Retirement, PTO

Re-posted 3 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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What Applied Medical employees say

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Hours and flexibility

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