Answering questions, documenting, integrating models into backend applications, and understanding product concerns. A few years ago I would have said data cleaning or model tuning but these processes have become much more mature in the companies I have worked at so i can’t afford to spend as much of my time there.

Lunch

data reconcilliations :(

Power point presentations

Data pre-processing.

The startup I work at is fairly small so we don’t really have anyone who deals with the data itself (e.g., data engineers, data scientists, etc.). That leaves the MLEs to do most of the grunt work.

The people.

Data annotation if there is no training data for computer vision task.

Waiting for IT to install/change things. I don’t have admin access on my work machine. Or endless meetings.

Dealing with the moronic decisions of business majors and their attention seeking attitudes

stress relief

Most of my day today was spent writing a “one pager” demonstrating to senior leadership the impact of my organization. Explaining things to leadership generally who all seem to have caught some kind of reading-induced rabies weekly drains my soul.

Stupid coding mistakes. Working with faulty data.

Used to be meetings, but we have embraced an anti-meeting culture, replacing it with asynchronous communication.

edit: typo.

Ghxxhgghuuuucuhhxc ii

Forms :(

My whole job