Being an ML engineer sometimes feels more like being a manager than an individual contributor. When writing software, you think through every edge case & behavior yourself. In ML engineering, you shape the behavior of systems through indirect means. Trickier, but more leverage.

Apr 28, 2022 · 5:09 PM UTC

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Replying to @gdb
ML engineers are more TDD than others?
Replying to @gdb
Sounds sloppier - like a baker saying "well I don't like to measure ingredients so I just go by what feels right - it's trickier but it makes me feel special"
Replying to @gdb
Isn't it more like being a parent?
Replying to @gdb
Is humanity moving towards that direction?
Replying to @gdb
Data science is a team effort. Building teams of data literate analysts work alongside subject matter experts . A data engineer create clean data sets to train algorithm. Domain experts from different engineering and analytic backgrounds handle most tasks.