Pros: - Challenging problems to solve

Cons: - Management is sometimes reactive instead of proactive.

Pros: - Remote flexibility that is now gone - A scrappy and focused team of ML engineers - Challenges that really taught me to be flexible and roll with the punches

Cons: - Leadership places no trust, priority, or investment given to the ML team whatsoever. It consists of no AI people and is ridiculously out of touch, creating a toxic and political environment. - Constantly demanding unreasonable turnarounds that cause long-term, compounding damage to the team's ability to innovate. No serious investigation and resources are allocated to identify and research scalable AI problems and solutions. - Compensation packages and updates are so lackluster that they are actually laughable. Despite all of this, EvenUp is removing remote work for new hires and managing out the original teams of engineers that got the company to where it is today. Combined with the fact that AI management keeps getting replaced, this is a serious indication that leadership is playing politics to mask their own incompetence and keep stakeholders appeased.

Pros: - An amazing team to work with. Despite being a fully remote team, people are always super willing to pair up and help tackle a problem. - Everyone has a voice and is given room to grow and tackle problems and technologies that matter to them. - As a startup, there are few layers of bureaucracy, so communication from upper management to individual contributors is communicated quickly and is very responsive to feedback and suggestions. - Compensation is also generous.

Cons: - Projects and technology move a little too fast sometimes, causing tech debt to accumulate - Workload on projects can get hectic as deadlines approach - Still some growing pains as the company transitions away from a traditional start-up to a more established company, requiring processes to be better established.