For ML engineers or Data Scientists: Only apply, when you are desperate
Gut am Arbeitgeber finde ich
You can take over responsibilities and build whatever you want. Sadly, this will result on long working days.
The engineering department is solid and knowledgeable. I learnt a lot from them.
Schlecht am Arbeitgeber finde ich
For me, it was the worst work experience so far. I look back in disdain. My problem was, that I couldn't find another job easily.
Verbesserungsvorschläge
In its core, the company is a sales company, not a tech company. There is nothing bad about it, but be at least honest.
The machine learning department is utterly weak. If the company wants to survive, it needs some major fixes here.
There are to many managers in the company. Our team of 4 ICs had 4 direct managers.
Arbeitsatmosphäre
Depends on the team; Very often tight deadlines (made-up) and after hand-over the project stops for a while.
Also there is no decision making. Even an obvious decisions needs months of internal discussions until it will be executed.
Kommunikation
In the ml team, no communication of the management with the IC. You learn about company informations by other teams
Kollegenzusammenhalt
Some colleagues "steal" your work and sell it internally; management doesn't care, so they get away with it over and over again.
Work-Life-Balance
Depends on your ambitions. You can get away with < 10h per week or have > 50h per week. There is no difference in your evaluation.
Vorgesetztenverhalten
I got bullied by my superior and after I complained, I got laid off.
Interessante Aufgaben
There are interesting tasks, you just have to find them by yourself and push them.
Gehalt/Sozialleistungen
Below industry standard