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I agree--the impact of a great engineer working in healthcare is very high, particularly if you partner with medical experts. We're a small startup that has pa

• daveguy 10y ago
  I'm curious. What is your definition of "machine learning engineer"? Are you talking mostly feature engineering or something deeper. If so, what?
  • brandonb 10y ago
    In our case, we're applying deep learning to sensor data, so much of the day-to-day work of a machine learning engineer is experimenting with new neural architectures rather than feature engineering by hand. For example, we're using or interested in techniques like: * semi-supervised sequence learning (we have a paper in a NIPS workshop next week on applying sequence autoencoders to health data, for example) * deep generative models * variational RNNs From a day-to-day perspective, we use tools like Tensorflow and Keras, similar to most AI research labs. In general, we try to act as a software startup that happens to work in healthcare, rather than as what you might think of as a traditional biotech or medical device startup. Does that help answer your question?