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$15

$24

$33

How much do medical imaging ai jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for medical imaging ai in the United States is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.41 per hour, depending on experience, location, and employer.

What is Medical Imaging AI?

Medical Imaging AI refers to the use of artificial intelligence technologies, such as machine learning and deep learning, to analyze medical images like X-rays, MRIs, CT scans, and ultrasounds. These AI systems can assist radiologists by detecting abnormalities, segmenting organs, and even suggesting diagnoses. The goal is to improve accuracy, speed, and efficiency in interpreting medical images, which can lead to better patient outcomes. Medical Imaging AI is increasingly being integrated into clinical workflows, supporting healthcare professionals in making more informed decisions.

What are the key skills and qualifications needed to thrive as a medical imaging AI specialist?

To thrive as a Medical Imaging AI Specialist, you need expertise in medical imaging, machine learning, and data analysis, typically backed by a degree in computer science, biomedical engineering, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and medical imaging systems (e.g., DICOM) as well as relevant certifications in AI or healthcare technology is important. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinicians and interpret complex data accurately. These skills and qualities are vital for developing reliable AI-driven imaging solutions that improve patient outcomes and integrate seamlessly into clinical workflows.

What are some common challenges faced by professionals working in medical imaging AI, and how can they be addressed?

Professionals in Medical Imaging AI often encounter challenges such as ensuring data privacy, managing large and diverse datasets, and achieving high model accuracy across different medical conditions and imaging modalities. Addressing these challenges requires collaboration with radiologists, data engineers, and compliance experts to maintain data quality, anonymize patient information, and validate models in real-world settings. Continuous learning and staying updated with the latest regulations and technological advancements are also essential for success in this rapidly evolving field.

What is the difference between Medical Imaging Ai vs Medical Imaging Technologist?

AspectMedical Imaging AiMedical Imaging Technologist
CredentialsNone required; relies on algorithms and softwareCertification and licensing required (e.g., ARRT)
Work EnvironmentSoftware development, data analysis, research settingsHospitals, clinics, imaging centers
Industry UsageUsed as a tool to assist diagnosis and image analysisPerforms imaging procedures like X-rays, MRIs, CT scans
Primary FocusDeveloping and implementing AI algorithms for image interpretationCapturing and producing medical images for diagnosis

Medical Imaging Ai focuses on developing AI software to assist in image analysis, while Medical Imaging Technologists operate imaging equipment to produce diagnostic images. Both roles are essential in the healthcare industry but differ in credentials, work environment, and primary responsibilities.

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Medical Imaging Ai jobs near you
Infographic showing various Medical Imaging Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $51,052 per year, or $24.5 per hour.

Software Manager, Imaging and AI

DeepSight Technology

Santa Clara, CA • On-site

$180K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

We are looking for an engineering leader with a strong background in medical imaging, AI, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As the Software Manager for the Imaging and AI team, you will lead a team developing and optimizing algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system. As a Software Manager for Imaging and AI, your responsibilities are: Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the ultrasound imaging platform. Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical algorithms using C++ and CUDA, serving as a technical resource and problem solver for the team.Guide Advanced Algorithm Development: Oversee the research and development of advanced algorithms and image processing techniques to enhance spatial resolution and image quality in ultrasound imaging, providing technical mentorship to team members. Foster AI and Machine Learning Integration: Champion the exploration and implementation of machine learning and AI techniques to enhance image analysis, automate diagnostic workflows, and assist clinicians with interpretation tasks. Facilitate Systems Integration: Collaborate with systems and hardware engineers to ensure seamless integration of software and hardware components for optimized data acquisition, processing, and display. Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle. Required Qualifications: BS in an engineering or computer science field Familiarity in signal and image processing and algorithm development in medical imaging Strong background in object-oriented programming, software architecture, and design patterns Proficiency with C++ programming Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL) Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing Proven ability to lead and manage technical teams in designing, implementing, and optimizing algorithms for imaging applications. Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders. Passionate about medical devices, with excellent communication and teamwork skills Preferred Qualifications: PhD in Electrical/Biomedical engineering with a dissertation topic related to medical imaging Knowledge of ultrasound physics, beamforming, simulation and algorithm development 8 or more years of experience in commercial software development Experience in medical imaging product development (FDA regulated) Experience with real-time software applications Experience interfacing with hardware components and systems Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems Knowledge of AI/ML techniques applied to medical imaging, including model training, validation, and deployment in clinical workflows Other Qualities We Are Looking For Positive - a can-do attitude that helps you rise to challenges Collaborative - a team player who can effectively communicate with others Attentive to detail - nothing gets by you Efficient - a knack for effectively prioritizing tasks and managing your time Pride in your work - real desire to do quality work Career-minded - looking for more than a job Empathy - a mindset of producing quality products that help people Benefits and Perks We offer great benefits and perks: Competitive salary Stock options Medical, dental, and vision insurance 401(k) retirement plan
Job Posted by ApplicantPro