Micro-Management & Meeting Hell - ML Engineer Scale Employee Review

1.0
Nov 9, 2020
Recommend
CEO approval
Business Outlook

Pros

There's actually ML work to be done since Scale does label data.

Cons

- Scale is run by a kid who has never worked a job before. And it shows. - Meeting culture: everyone wants to have 3 hours of meetings every day. Managers "need" these to "understand" what's going on. - Extreme micro-management: incompetent managers don't trust what they don't know. - Management has no training and is completely unable to do their job. When I approached my own manager with management problems that they alone can solve, they told me "I wish someone would step up on the team to solve this." Lol -- that's you! - Extreme favoritism: people are fired without cause if a manager doesn't like you. - Leadership incompetence: there are people "running" ML projects that don't understand what ML is nor what it can and cannot do. - Every person in management is arrogant and lacks the humility necessary to learn how to effectively inspire and manage people.

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5.0
Jul 13, 2026
Recommend
CEO approval
Business Outlook

Pros

- 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

Cons

- 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.

4.0
Jul 20, 2026
Recommend
CEO approval
Business Outlook

Pros

- 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

Cons

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

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