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Remote Medical Imaging Machine Learning Jobs in Rancho Santa Fe, CA

Alutiiq

Software Engineer

San Diego, CA · On-site +1

Experience supporting Machine Learning, Computer Vision, or data science workflows. Familiarity ... Ability to work independently in a remote environment while supporting geographically distributed ...

Find co

Technical Cofounder

San Diego, CA · On-site +1

... AI & Machine Learning---### Overview* (Co-)Founder* Other Tech* Software Engineer Data Scientist Industry Specialist* Full-time* San Diego* Flexible (Office and Remote)* No salary* Not specified*

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ...

Wsgr

Innovations and AI Solutions Engineer

San Diego, CA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

... AI, machine learning, big data, Crypto, IoT, blockchain, and cloud services, to enhance the ... Medical, Dental, Vision, and Life Insurance * Paid Sick Leave, 3 weeks' Vacation, and Holidays ...

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Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

What are the key skills and qualifications needed to thrive as a Remote Medical Imaging Machine Learning Specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a Remote Medical Imaging Machine Learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What cities near Rancho Santa Fe, CA are hiring for Remote Medical Imaging Machine Learning jobs? Cities near Rancho Santa Fe, CA with the most Remote Medical Imaging Machine Learning job openings:
Remote Medical Imaging Machine Learning jobs near you
INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

3ds

San Diego, CA • On-site, Remote

$22 - $40/hr

Full-time, Internship

Posted 25 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.

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