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Temporary Medical Imaging Machine Learning Jobs (NOW HIRING)

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Comprehensive benefits package including medical, dental, vision, and life insurance * Performance ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Medpace

Medical Imaging Analyst

Cincinnati, OH · On-site

Medical Imaging Analyst Our imaging services are growing rapidly, and we are currently seeking a ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

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Temporary Medical Imaging Machine Learning information

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How much do temporary medical imaging machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for temporary medical imaging machine learning in the United States is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $43.75 per hour, depending on experience, location, and employer.

What is the difference between Temporary Medical Imaging Machine Learning vs Medical Imaging Technologist?

AspectTemporary Medical Imaging Machine LearningMedical Imaging Technologist
CredentialsTypically requires knowledge of machine learning, programming, and healthcare dataRequires certification or licensing in radiologic technology
Work EnvironmentData analysis settings, research labs, healthcare IT departmentsHospitals, clinics, imaging centers
Industry UsageDeveloping AI tools for medical imaging, research projectsPerforming diagnostic imaging procedures on patients

Temporary Medical Imaging Machine Learning focuses on developing and applying AI algorithms to interpret medical images, often in research or tech settings. Medical Imaging Technologists operate imaging equipment directly on patients for diagnostic purposes. While both roles involve medical imaging, one is tech-focused on data and AI, and the other on patient care and image acquisition.

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Temporary Medical Imaging Machine Learning jobs near you
Infographic showing various Temporary Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $73,307 per year, or $35.2 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 27 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

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