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Live In Medical Image Deep Learning Jobs in Tennessee

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

New

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

New

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

New

Could also include but not limited to deep learning, neural networks, chatbots, image processing ... Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, Google ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Live In Medical Image Deep Learning information

Is ML a high paying job?

A career in machine learning, including roles like live-in medical image deep learning specialists, generally offers high salaries due to the specialized skills and demand for expertise in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles are typically well-compensated compared to many other tech positions.

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions often involve developing algorithms for image analysis, natural language processing, and predictive modeling, frequently requiring programming skills in Python and frameworks like TensorFlow or PyTorch.

What are the applications of deep learning in medical imaging?

In the role of a Live In Medical Image Deep Learning specialist, deep learning is applied to automate and improve the accuracy of medical image analysis, including tasks such as tumor detection, segmentation, and disease classification. These applications enhance diagnostic efficiency and support clinical decision-making using tools like convolutional neural networks (CNNs) and large datasets for training models. Skills in image processing, programming, and understanding of medical imaging modalities are essential for this work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often in specialized fields like medical image deep learning. These roles usually require advanced skills in deep learning frameworks, extensive experience, and may involve leadership responsibilities or cutting-edge research. Compensation at this level reflects significant expertise and impact within the organization.
What are the most commonly searched types of Medical Image Deep Learning jobs in Tennessee? The most popular types of Medical Image Deep Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Live In Medical Image Deep Learning jobs? Cities in Tennessee with the most Live In Medical Image Deep Learning job openings:
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Jackson, TN โ€ข On-site

Other

Re-posted 26 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the worldโ€™s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patientโ€™s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity