Pros: The work environment is chill, and you meet new and nice people and just gain knowledge.

Cons: They could do the management of work a little better.

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, and managers "need" these to "understand" what's going on. - Extreme micro-management: incompetent managers who 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 who are "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.

Pros: Good growth opportunities and a good amount of equity

Cons: Bad work-life balance; constant change in middle management.