I am considering joining as a swe in this org in Menlo Park. I have an underhrad cs degree and a graduate degree in ml from a top college and some research background. How much of the work is actual ml? Is it mostly fine tuning? Is there much collab with the FAIR? Possible to move into a research engineer or scientist role over time? I have heard it’s a super impact org and the wlb is p bad. I don’t mind that but hope that comes up with fast career growth as well. Thanks! PS: posting from friend’s account #meta #facebook #fair
It is actually pretty good org for impact.
> How much of the work is actual ml A lot is config change but also a lot of "green" fields > Is it mostly fine tuning Highly project depended. If by fine tune you mean play with optimizer- then no. If modifying arch- yes, a lot >Is there much collab with the FAIR Yes, but not all projects. Fair is no different than any other team. On avg, eng there are more out of touch with world and how to actually ship so don't fantasize them >Possible to move into a research engineer or scientist role over time? In fb rs = mle = swe ml. You can get rs title if you are swe if you have phd. No difference >I have heard it’s a super impact org and the wlb is p bad. I don’t mind that but hope that comes up with fast career growth as well. Compare to other orgs like coasting labs- yes it's bad wlb. Growth is decent, faster than company avg
Gotcha gotcha tysm. Is it easy to move across different teams in the org if I do not like my role too much? Also how is each team and location different? There are 3 locations (nyc, bay, and seattle). Should I prefer Menlo Park since there are more teams there so easy for career growth/promotion and finding other teams? Thanks a lot!!
First 12mo you can't move. Then depending on hc, location, role type Changing when you are at mpk is typically easier since more teams open there.
Software engineers, ML engineers, research scientists all do the same work in Ads ML team — changing configs.
Haha are u in the coreml org?