There's an insane amount of greenfield ML work to be done here. People seem to be genuinely excited about the future of Reddit. There's an ability to have a ton of impact as an individual contributor. Perks and stuff are good. There's lots of potential for equity to be meaningful.
Keep evolving the product, keep innovation at the forefront.
The first round is to build a model given a dataset. This is followed by an onsite interview, which includes: * Pair coding * ML system design * Project deep dive with the hiring manager * ML knowledge assessment
Before the first technical interview, the recruiter shared with me the list of topics on data structures and algorithm development that could be relevant for the interview. In the beginning of the interview, the interviewer asked me about how hash t
I received a wait email from the recruiter, who stated they were reviewing applications. The recruiter later got back to me, saying the role had been filled and to apply to similar roles in the future.
The first round is to build a model given a dataset. This is followed by an onsite interview, which includes: * Pair coding * ML system design * Project deep dive with the hiring manager * ML knowledge assessment
Before the first technical interview, the recruiter shared with me the list of topics on data structures and algorithm development that could be relevant for the interview. In the beginning of the interview, the interviewer asked me about how hash t
I received a wait email from the recruiter, who stated they were reviewing applications. The recruiter later got back to me, saying the role had been filled and to apply to similar roles in the future.