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Seasonal Medical Imaging Machine Learning Jobs (NOW HIRING)

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Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

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Seasonal Medical Imaging Machine Learning information

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How much do seasonal medical imaging machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for seasonal medical imaging machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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Seasonal Medical Imaging Machine Learning jobs near you
Infographic showing various Seasonal Medical Imaging Machine Learning job openings in the United States as of June 2026, with employment types broken down into 39% Full Time, 59% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

INTERNSHIP: BIOVIA Machine Learning Applications (Medical Imaging)

3ds

San Diego, CA • On-site

$22 - $40/hr

Internship

Posted 2 days ago

Job description

Role Description & Responsibilities
Join Dassault Systèmes BIOVIA and contribute to the development of innovative machine learning solutions that help scientists and researchers solve complex real-world challenges. As part of the Machine Learning team, you will work with BIOVIA's Pipeline Pilot AI platform to design, develop, and optimize advanced machine learning capabilities for scientific applications.
In this role, you will:
  • Develop and enhance machine learning components within the BIOVIA Pipeline Pilot platform, supporting scalable scientific data processing workflows.
  • Research, implement, and evaluate state-of-the-art deep learning algorithms for image analysis and scientific data processing applications.
  • Collaborate with software engineers, product managers, quality assurance teams, and customer-facing teams to deliver high-quality solutions and innovative product features.
  • Participate in the design, testing, and validation of machine learning workflows, ensuring performance, scalability, and reliability.
  • Contribute to projects involving medical imaging, image annotation technologies, model optimization, workflow automation, and emerging AI methodologies such as federated learning.
  • Support automated testing initiatives and help maintain high software quality standards across developed functionalities.

Potential project areas may include:
  • Medical imaging quality control and automated MRI validation.
  • Deep learning model optimization and deployment.
  • Image annotation tools and continuous learning workflows.
  • Federated learning and privacy-preserving AI.
  • Scientific image processing and workflow automation.
  • Development of scalable AI-driven capabilities within Pipeline Pilot.

Qualifications
Education
  • Currently pursuing a Master's or PhD degree in Computer Science, Data Science, Electrical Engineering, Biomedical Engineering, or a related technical discipline.
  • Must remain actively enrolled in an accredited university throughout the internship.
  • Minimum cumulative GPA of 3.0.

Experience & Technical Skills
  • Experience with machine learning and deep learning techniques, particularly for image and/or tabular data.
  • Proficiency in Python programming.
  • Hands-on experience with machine learning frameworks such as TensorFlow and/or PyTorch.
  • Familiarity with scientific computing and data processing libraries including NumPy, pandas, scikit-learn, and OpenCV.
  • Understanding of statistical analysis, data-driven modeling, and machine learning principles.
  • Exposure to machine learning model training, deployment, or workflow automation is preferred.
  • Knowledge of medical imaging workflows, image processing techniques, or annotation tools is a plus.

Behavioral Skills
  • Strong analytical and problem-solving capabilities.
  • Scientific curiosity and passion for innovation.
  • Excellent collaboration and teamwork skills.
  • Strong verbal and written communication abilities.
  • Commitment to delivering high-quality software and technical solutions.

Why Join Dassault Systèmes?
  • Opportunity to work on cutting-edge AI and machine learning technologies applied to scientific research and industry challenges.
  • Exposure to BIOVIA's industry-leading Pipeline Pilot platform and advanced software development practices.
  • Collaborative environment with experienced engineers, researchers, and product leaders.
  • Hands-on experience contributing to impactful projects used by customers worldwide.
  • Professional development opportunities and mentorship from experts in machine learning and scientific software development.

Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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