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Medical Imaging Machine Learning Internship Phd Jobs

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... to medical imaging applications, including disease detection/quantification in medical scans ... We are currently hiring both full-time and interns to join our R&D team. Responsibilities:

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... to medical imaging applications, including disease detection/quantification in medical scans ... We are currently hiring both full-time and interns to join our R&D team. Responsibilities:

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Master's Degree or PhD Preferred : * Prior experience with data annotation, data quality, or ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

Currently pursuing a Bachelor's, Master's, or PhD (highly preferred) in Computer Science, Robotics ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

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Medical Imaging Machine Learning Internship Phd information

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$25.5K

$42.6K

$88K

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

As of Jun 12, 2026, the average yearly pay for medical imaging machine learning internship phd 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.

What is a Medical Imaging Machine Learning Internship for PhD students?

A Medical Imaging Machine Learning Internship for PhD students is a specialized training opportunity designed for doctoral candidates interested in applying advanced machine learning techniques to medical imaging data. Interns typically work on projects involving the development and validation of algorithms for tasks such as image segmentation, detection, diagnosis, or prognosis using modalities like MRI, CT, or X-ray. These internships are often hosted by hospitals, research labs, or tech companies and allow students to gain practical experience, collaborate with interdisciplinary teams, and contribute to innovations in healthcare technology. The experience can also help PhD students build a professional network and enhance their research portfolio.

What types of projects and collaborations can I expect during a Medical Imaging Machine Learning Internship as a PhD student?

As a PhD intern in Medical Imaging Machine Learning, you will typically work on projects involving the development and evaluation of deep learning models for tasks such as image segmentation, disease detection, or image enhancement. You will collaborate closely with multidisciplinary teams, including radiologists, data scientists, and software engineers, to translate research ideas into practical solutions. Interns often participate in regular team meetings, present findings, and are encouraged to contribute to publications or patents. This role provides valuable exposure to both academic and industry perspectives, offering opportunities for networking and skill development within a fast-evolving field.

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

To thrive in a Medical Imaging Machine Learning Internship as a PhD candidate, you need advanced knowledge of machine learning, computer vision, and medical image analysis, typically backed by a strong research background in related fields. Experience with programming languages (such as Python), deep learning frameworks (like TensorFlow or PyTorch), and familiarity with medical imaging data formats (e.g., DICOM) are essential. Strong problem-solving skills, collaboration, and effective scientific communication set top candidates apart. These competencies enable you to develop innovative solutions and contribute effectively to interdisciplinary healthcare technology teams.
Infographic showing various Medical Imaging Machine Learning Internship Phd job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Intern (PhD), Machine Learning

Output Biosciences

San Francisco, CA • On-site

$3K - $11K/mo

Full-time

Medical, Dental, Vision

Posted 6 days ago

Job description

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.


The Role

You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year.


About You

  • You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field

  • You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences

  • You have hands-on experience designing and running ML experiments, including training models and analyzing results

  • You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure

  • You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly

Bonus Points

  • You have experience applying machine learning to biological, chemical, or molecular data

  • You have a background in computational biology, biophysics, chemistry, or a related natural science

  • You have experience with generative models, representation learning, or self-supervised learning

  • You have contributed to open-source machine learning or computational biology projects

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer

  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage