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Research Scientist Intern (2026)

Role overview

Qualifications

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

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

Key facts

  • Remote from: United States
  • Internships
  • Entry-level / graduate
  • Research Scientist
  • English

Hard skills

Other skills

  • Imagination
  • Curiosity

About the company

Whiterabbit.ai logo

Whiterabbit.ai

  • Digital Health
  • 51–200
Whiterabbit.ai was founded in 2017 to significantly reduce late-stage cancers by detecting them in their earliest stages, starting with breast cancer. We are developing a state-of-the-art artificial intelligence (AI) suite to improve: Breast cancer screening rates Radiologists’ accuracy, productivity, and workflow Clinic operations to ensure patients receive timely and compassionate care The patient experience through a mobile app that gives the consumer access to their medical images with the ability to instantly share Nearly forty million women get mammograms every year in the US. About 1 in 8 women will develop invasive breast cancer over the course of her lifetime. We hope through developing robust AI technologies, we can improve the speed and accuracy of cancer detection in radiology. Our solutions in development are aimed at redesigning the entire breast cancer screening process with a focus on compassion. Through redefining and shortening the screening and diagnosis experience for women, we aim to improve their patient experiences and outcomes. Training AI to solve complex problems requires a robust data set. Whiterabbit and The Mallinckrodt Institute of Radiology at Washington University School of Medicine have forged a collaboration to build a world-class data set and lead the advancement of breast cancer detection with machine learning.

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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 world’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 patient’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 
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