ZipRecruiter

Log In

1

Internship Medical Imaging Machine Learning Jobs in California

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 ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Medical, dental, and vision coverage * Generous PTO and flexible hybrid work model * 401(k) with ...

previous pagenext page

Showing results 21-40

All JobsMedical Imaging Machine Learning JobsInternship Medical Imaging Machine Learning JobsInternship Medical Imaging Machine Learning Jobs in California

Internship Medical Imaging Machine Learning information

What is an internship in medical imaging machine learning?

An Internship in Medical Imaging Machine Learning is a temporary position, typically held by students or recent graduates, where individuals gain practical experience applying machine learning techniques to medical imaging data. Interns work alongside professionals to develop, train, and evaluate algorithms that help interpret medical images such as X-rays, MRIs, or CT scans. These roles often involve data preprocessing, model development, and performance analysis, providing valuable hands-on experience in both healthcare and artificial intelligence. This internship is ideal for those interested in combining expertise in computer science, machine learning, and medical diagnostics.

What types of projects can I expect to work on during an internship in medical imaging machine learning?

As an intern in medical imaging machine learning, you'll typically contribute to projects involving the development and validation of algorithms for tasks such as image segmentation, classification, or anomaly detection using clinical imaging data. Daily responsibilities often include data preprocessing, model training and evaluation, and collaborating with research scientists and clinicians to interpret results. You'll also have opportunities to participate in team meetings, present findings, and receive mentorship, which can help you build both technical and domain-specific skills for future roles in healthcare AI.

What are the key skills and qualifications needed to thrive as an intern in medical imaging machine learning?

To thrive in a Medical Imaging Machine Learning internship, you need a solid background in computer science, mathematics, and biomedical engineering, typically supported by coursework or experience in machine learning and image processing. Familiarity with Python, TensorFlow or PyTorch, and medical imaging tools such as DICOM viewers is commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this field. These skills and qualities enable interns to contribute meaningfully to research and development projects, ensuring accurate analysis and innovation in medical imaging solutions.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in California?

The most popular types of Medical Imaging Machine Learning jobs in California are:

What are popular job titles related to Internship Medical Imaging Machine Learning jobs in California?

For Internship Medical Imaging Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Medical Imaging Machine Learning jobs in California look for?

The top searched job categories for Internship Medical Imaging Machine Learning jobs in California are:

What cities in California are hiring for Internship Medical Imaging Machine Learning jobs?

Cities in California with the most Internship Medical Imaging Machine Learning job openings:

Internship Medical Imaging Machine Learning jobs near you
Infographic showing various Internship Medical Imaging Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Software Manager, Imaging and AI

DeepSight Technology Inc.

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 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

Apply