Published date Posted on Indeed on Jan 18, 2022 (119 d ago)
We are looking for an AI Research Engineer push the state of the art of our AI models. As a AI Research Engineer at Whiterabbit.ai, you will:
  • Support our team of research scientists and research engineers in carrying out large-scale advanced deep learning research
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Conduct analytical experiments to evaluate and benchmark cutting-edge computer vision algorithms that will power our products
  • Continue to broaden your knowledge of deep learning research via active participation in our model development and research publication process

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

  • Work closely with researchers to develop, train, and validate the accuracies of deep learning models
  • Collaborate with the research team to build critical tools and infrastructure to optimize our model development lifecycle
  • Manage, document, analyze, and present experiment results to the research team
  • Support research in applying best software practices in code design and code review

Must Haves

  • BS with 3-4 years of software/data engineering experience or MS with 1-2 years of software/data engineering experience
  • Familiarity with deep learning and convolutional networks, e.g. online coursework and deep learning projects
  • Fluency with Python
  • Strong coding practices and an eye for code quality

Nice to Haves

  • Experience with matplotlib and pandas
  • Hands-on experience applying deep learning models, including training, debugging, and hyper-parameter searching
  • Participated in online ML competitions, e.g. Kaggle
  • Imagination, ambition, and curiosity

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