(Image src: Inside BigData)
In our small team of 13 people, who all work on ML, the required coding skills range from
- None (or simple git pull and build). Such person only needs to run experiments and write technical docs. (Revised: perhaps very little to demonstrate how to use the API.)
- to decent numerical computing in MATLAB/Python/R. Such person runs and tweaks experiments on real problems for customers. Knowing at least one of those scripty languages is required so that they can do custom features engineering or visualization tasks that are not supported by the main tool that we build.
- to good C# or F# + great software design + various level of numerical computing. Such person contributes to the main code base.
- to hardcore low level programming. Such person is obsessed with latency/throughput, BLAS, SSE/AVX, GPU, and distributed systems.