MADInterview

What makes MAD interview better than its alternatives?

I created MAD as a side project out of my own frustration during transitioning from academia to industry and while preparing for interviews.

Why did you leave Meta?

Meta was my first industry role. I joined directly from academia as an IC6 Research Data Scientist (Applied Scientist) in the infrustructure org. My work was quite interesting: I was building ML algorithms for ranking Android code before it was shipped (as it happens, the order of the shipped code affects latency).

Why does it take so long to complete the platform?

I do this for fun, which means I don't work on it every day. My job is quite intense, and I have two young kids. At most, I find 4-5 hours a week to work on this. A challenging solution can take several hours to write up, so I end up adding a few new questions every week. The same goes for updating the front end or adding functionality on the platform.

How much money can I make as a PDS/DS/AS/MLE?

A lot. To get some ideas check on levels. Applied scientists and MLEs tend to make more than DS and PDS. In most cases, they make the same or more than SWEs. DS and PDS tend to make a little less. At Meta, Research Data Scientists were making 85%-90%% of SWE, whereas Product data scientists were making 65% of SWEs. In my current company, applied scientists are part of the Eng org, and make the same as SWEs.

Can I send you an interview question to get a solution? How can I contact you?

Absolutely. If you have seen an interview quwestion you are not certain about its solution (or you don't trust chatgpt) feel free to email me at [email protected]