If you're a strong software engineer but without any particular expertise in deep learning, feel free to email me as well. brandon@cardiogr.am :)

We (Cardiogram) in particular are hiring for: mobile engineers (building an Apple Watch app used by 100,000 active users), storage and data infrastructure engineering (how are you going to store 10 billion sensor measurements those users are producing?), and machine learning engineers (now that we have the data, what can we do with it?).

In practice, many people fit multiple categories. There's a tight relationship between data infrastructure and machine learning, for instance, since new infrastructure often enables new algorithms. Likewise, building a new feature in Cardiogram for Apple Watch may give us 10x more labeled data, and therefore make the deep learning algorithm perform better. Interdisciplinary is good.