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Full Time Image Analysis Jobs (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare ... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ...

SciTec

Staff / Sr Staff C++ Software Engineer

Boulder, CO · On-site

$96K - $140K/yr

Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms ... Ability to work full-time in-person in Boulder, CO office location * Ability to obtain and maintain ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

... leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare ... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ...

SciTec

Staff / Sr Staff C++ Software Engineer

Boulder, CO · On-site

$96K - $140K/yr

Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms ... Ability to work full-time in-person in Boulder, CO office location * Ability to obtain and maintain ...

Lilly

In Vivo Imaging Scientist

Philadelphia, PA

$65.25K - $169.40K/yr

Advanced skills in image analysis using platforms such as VivoQuant, Analyze, PMOD, or MATLAB ... The anticipated wage for this position is $65,250 - $169,400 Full-time equivalent employees also ...

Tamus

Postdoctoral Research Associate

Bryan, TX

$5.42K/mo

Bryan, TX Schedule: Full-Time * May be required to work weekends and/or after normal hours. * May ... Ability to perform advanced structural and functional image analysis. * 6 years of experience in ...

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Full Time Image Analysis information

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$25.5K

$80.1K

$102.5K

How much do full time image analysis jobs pay per year?

As of May 31, 2026, the average yearly pay for full time image analysis in the United States is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Image Analysis vs Full Time Medical Imaging Technician?

AspectFull Time Image AnalysisFull Time Medical Imaging Technician
CredentialsTypically requires a degree in imaging, radiology, or related field; certifications varyRequires certification in radiologic technology; often a degree in radiologic sciences
Work EnvironmentPrimarily office or lab settings, analyzing images on computersHospitals, clinics, imaging centers; operating imaging equipment
Employer & IndustryHealthcare, research institutions, tech companiesHospitals, diagnostic labs, outpatient clinics

Full Time Image Analysis involves interpreting medical images using specialized software, often in an office setting. In contrast, Full Time Medical Imaging Technicians operate imaging equipment directly on patients. Both roles require relevant certifications and are integral to healthcare diagnostics, but they differ in daily tasks and work environment.

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What are the most commonly searched types of Image Analysis jobs? The most popular types of Image Analysis jobs are:
What states have the most Full Time Image Analysis jobs? States with the most job openings for Full Time Image Analysis jobs include:
What job categories do people searching Full Time Image Analysis jobs look for? The top searched job categories for Full Time Image Analysis jobs are:
Full Time Image Analysis jobs near you
Machine Learning Engineer

Machine Learning Engineer

Voxelcloud

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Company Description
Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all. http://www.voxelcloud.ai
Job Description
The R&D team (located in Los Angeles, CA) is involved with research and development of innovative solutions to medical imaging applications, including disease detection/quantification in medical scans, disease risk stratification, image synthesis, text report mining, and more! We are currently hiring both full-time and interns to join our R&D team.
Responsibilities:
  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications
Basic Qualifications
  • MS degree in computer science, engineering, or mathematics
  • 2-3 years of relevant experience in building deep learning solutions for computer vision problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications
  • PhD degree in computer science, engineering, or mathematics
  • 3-5 years of relevant experience in building deep learning solutions for computer vision problems
  • Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).
  • Track record of publications in CV and medical image analysis is a plus
  • Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus
  • Prior experience with medial images is a plus

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.

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