Coming from PhD to Industry: What’s next? Your advice is appreciated
I truly appreciate your honest advice. Thanks a lot.
I got a PhD from MIT (ML+Privacy), and joined Google (I’m 27) . My team works on something that needs very basic ML (regression) and the product does not seem intresting to me so I’m considering a change.
However, I’m not sure what’s the best strategy for me; I’m considering joining a team that have a lot of backend distributed computing designs and cloud computing and a lot of coding that I like.
1. Is coming out of ML bad for my career progress. Does it hurt me since it’s hot area?
2. Should I look around my area of expertise? Should I explore new areas and learn new things?
3. I feel my coding skills have become rusty and considering a coding-heavy role to become a stronger SWE asap. I can have 20% ML projects from other teams. Does this make sense to you? or I’m wrong totally.
In academia, a narrow expertise was the key for getting the PhD, now I’m confused if I should remain around ML or pivot to other intresting areas like Cloud?