Research Scientist - Deep Learning is a leading venture-backed start-up based in Silicon Valley. Our founding team includes early employees and investors at Amazon. Our research team boasts advanced degrees from Stanford University, Washington University in St. Louis and the University of Toronto. We're currently in stealth with access to one of the world’s largest cancer datasets from one of the top medical schools in the US, and are looking for several Research Scientists with a background in deep learning/AI to join our team. 

 As a Research Scientist, you will: 
  • Play a key role in architecting the algorithms and models that will power our products
  • Work with 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 with universities and publishing high impact papers

  • 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 and computer vision.
Required Experience: 
  • MS or PhD-level experience with deep learning and convolutional networks
  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NIPS, ICCV, ECCV, ICML, ICLR
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python
Nice to Haves: 
  • Large scale machine learning experience working with terabytes of data
  • Background in statistical modeling and optimization theory
  • Implemented custom operations/modules in a deep learning framework
  • Familiarity with GPU programming, SQL, and/or medical data formats

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