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Software Engineer

Genesis is building a world-class software team in an industry that has underutilized computational methods for far too long. We are creating the best molecular property prediction platform in the world, filling in a critical piece in the drug discovery process. We need you to drive the cutting-edge research that will enable us to find cures for a wider range of diseases, faster than ever before.

You will:

  • Help develop our cloud infrastructure that handles thousands of parallel deep learning training jobs, optimizing for throughput, ease of use, cost-effectiveness, and task flexibility
  • Write novel featurization pipelines for molecular datasets, using basic chemistry principles and computational geometry to come up with more expressive molecular representations
  • Create debugging and testing tools for our AI architectures, from high-level TensorBoard-esque graphing all the way down to neuron-by-neuron analysis, to demystify our neural networks and enable efficient architecture iteration
  • Work closely with AI engineers and medicinal chemists to make our AI platform maximally adaptive to different use cases

You are:

  • Experienced writing production code and driving projects to completion, preferably at either a top industry company or a fast-moving startup
  • A deep thinker who reasons from first principles over pattern matching
  • An autodidact interested in deep learning, biochemistry, and the drug development process
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