Process
I applied online.
It started with an HR phone call and I was told that the process consists of two additional interviews. However, instead of 2, I had 9 additional interviews! A super lengthy and disorganized interview process.
I had a good experience with a couple of interviewers. Unfortunately, the rest of them were completely disconnected and unfocused during the interviews. One of them was clearly messaging others while interviewing me and laughing instead of focusing on what I was talking about.
After a total of 10 interviews, I got a generic email that I am not a good fit. If I was not a good fit, they should have figured that out after the first 2-3 interviews instead of dragging it to 10 interviews and wasting everyone's time.
Questions
Basic ML questions Live coding
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Interview Statistics
The following metrics were computed from 3 interview experiences for the EvenUp Machine Learning Engineer role.
Success Rate
EvenUp's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for EvenUp's Machine Learning Engineer interview process.
EvenUp Work Experiences
- 5.0GreatMachine Learning Engineer • Current EmployeeApril 26, 2022Pros: Great pay, great culture, and a great mission.Cons: Benefits could be better, but they're improving.
- 5.0MLE at EvenUpMachine Learning Engineer • Current EmployeeSan Francisco, CASeptember 22, 2026Pros: Good culture and work environment.Cons: None at the current moment.
- 2.0A fundamentally toxic and unserious AI company. Stay away.Machine Learning Engineer • Former EmployeeFebruary 22, 2025Pros: - 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 punchesCons: - 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.
