Resources available, but leadership lacks direction - Machine Learning Research Engineer Scale Employee Review

- Lot of flexibility as you get a say in how much core platform vs. customer-specific work you want to take up - Exciting growth avenues being pursued by organization in both enterprise and public sectors - Heavy emphasis on internal tooling being built that augments developer experience and pace of client delivery

- Sometimes, the team moves at a rapid pace at expense of sustainability/maintainability for short-term wins. - Lots of internal tooling being built are prematurely deployed for developers, and a lot of time goes into back-and-forth for gains that will only be visible in a large lookahead.

- work with top tier clients across AI research - fast paced projects with insane amount of autonomy from day 1 - really solid pay for non-technical role - in-office/remote flexibility - nice office - accessible leadership - ability to pivot to new stuff if you do well - strong network with alumni all over AI - friendly folks - tech atmosphere with high degree of flexibility

- long hours but you start late and can wfh - weekends - not very structured and constantly changinf