Just got an offer for a Data Infra role and I’m thinking about my eventual career progression (3-5 years out). Obviously it’s a bit premature since I haven’t even accepted yet, but I’m wondering what everyone’s thoughts are on the transition. My impression is that the skillset is transferrable (data pipeline work, cleaning, ingestion etc) so there shouldn’t be too much difficulty. I guess my main concern is I’d have to get some sort of ML/math degree if I wanted to do model training since every coworker I’ve met who does model training has some sort of advanced degree. On another note, anyone from Twitch know what the ML work is like there?
What’s the TC twitch is offering? How was your interview?
yoe?
5
@ramenlover what was the interview process like at twitch? I’m interviewing for the same position soon.
It depends on how you define ML. Some people consider data infra work to be ML, for example.
Hmm, I guess I meant ML infra/serving, but I wouldn’t mind working on model training. What’s your perspective on transferring to the latter? Do I need to get a degree or get good at math?
What aspect of ML infra/serving?