Deep Learning Data Science Intern

Spectral MD IncDallas, TX
1d

About The Position

The Deep Learning Data Scientist Intern at Spectral AI will work closely with Deep Learning Data Scientists on topics related to research and development of traditional machine learning and deep learning algorithms that will impact future Spectral AI products focusing on medical imaging device data.

Requirements

  • Must have at least a bachelor’s degree and currently enrolled in a Master or Ph.D. program in in a Master’s or Ph.D. program in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with a focus on machine learning, deep learning, and AI.
  • Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
  • Excellent communication skills.
  • Good understanding in machine learning and deep learning algorithms
  • Proficiency in a relevant programming language such as Python and C++
  • Proficiency in at least one major machine/deep learning framework such as Scikit-Learn, Pytorch, Tensorflow, or Keras.
  • Good understanding of image classification, semantic segmentation, and object detection algorithms.
  • Implementation of machine learning and deep learning algorithm in recent projects

Nice To Haves

  • Proficiency in at least one major image processing framework such as OpenCV is a plus.

Responsibilities

  • Work with cross-functional technical teams composed of researchers and software engineers.
  • Data management and development of images and clinical datasets
  • Perform data cleaning for machine learning and deep learning algorithms.
  • Design datasets and machine learning algorithms that solve critical clinical questions.
  • Research and develop novel machine learning and deep learning models for medical imaging data analysis, especially in the field of image classification and semantic segmentation.
  • Design, evaluate and deploy developed algorithms.
  • All other duties as assigned.
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