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Seasonal Medical Imaging Machine Learning Jobs (NOW HIRING)

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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$25.5K

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

As of Jun 23, 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.
More about Seasonal Medical Imaging Machine Learning jobs
What cities are hiring for Seasonal Medical Imaging Machine Learning jobs? Cities with the most Seasonal Medical Imaging Machine Learning job openings:
What are the most commonly searched types of Medical Imaging Machine Learning jobs? The most popular types of Medical Imaging Machine Learning jobs are:
What states have the most Seasonal Medical Imaging Machine Learning jobs? States with the most job openings for Seasonal Medical Imaging Machine Learning jobs include:
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 4 days ago


Job description

Role & Responsibilities
As an Intern in the BIOVIA MARIE Scientific Virtual Companion team, you will contribute to the development of agentic AI solutions and machine learning capabilities on Dassault Systèmes' 3DEXPERIENCE platform and BIOVIA's Pipeline Pilot AI platform. Your work will empower scientists and researchers to solve complex challenges in cheminformatics, medical imaging, and scientific data processing.
Key Responsibilities
  • Develop AI Agents & Workflows:
    Design, implement, and optimize intelligent agents for scientific applications (e.g., chemistry, biology) using Pipeline Pilot and 3DEXPERIENCE. Build scalable, user-friendly workflows with graphical interfaces.
  • Machine Learning Innovation:
    Research, develop, and deploy state-of-the-art deep learning algorithms for image analysis, tabular data processing, and scientific applications. Explore federated learning, continuous learning, and model optimization.
  • Collaboration & Product Development:
    Work with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality solutions. Participate in design, testing, and validation of AI/ML workflows.
  • Quality & Automation:
    Contribute to automated testing to ensure robustness and reliability of new functionalities. Support workflow automation and AI-driven capabilities in Pipeline Pilot.
  • Project Focus Areas:
    Potential projects include medical imaging quality control (e.g., MRI validation), deep learning model optimization, image annotation tools, privacy-preserving AI, and scientific workflow automation.

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

Technical Skills & Experience
  • Required:
    • Proficiency in Python programming.
    • Experience with agentic AI, LLMs, and AI libraries (e.g., LangChain, LangGraph).
    • Familiarity with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch).
    • Knowledge of scientific computing libraries (e.g., NumPy, pandas, scikit-learn, OpenCV).
  • Preferred:
    • Experience with data pipelines, cheminformatics, or medical imaging workflows.
    • Hands-on experience with model training, deployment, or workflow automation.
    • Exposure to image processing, annotation tools, or federated learning.

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.