Gigantic Annotation Pipeline - Machine Learning 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.

- High ownership - Able to make change quickly

- Lack of CI/CD maturity can be annoying at times - Not always clear what to build (highly ambiguous domain)