Process
The interview process for this company is unnecessarily lengthy and feels like a complete waste of time. It consisted of a minimum of 9 steps, each lasting at least 30 minutes.
It started with:
- A screening call with an internal recruiter
- A conversation with the hiring manager
- An initial technical interview
- A coding test
- 5-6 additional meetings with various team members
For the virtual onsite interview, which took over two days, I had to take time off from my current job.
After all this, I received a generic rejection email from the recruiter, stating that I was not the right fit—without any further explanation. If I wasn't a good fit, that should have been communicated in the earlier stages, instead of dragging the process out and wasting everyone’s time.
Questions
Basic coding tests, along with general questions on machine learning, large language models (LLMs), and behavioral topics.
Was this helpful?
Interview Statistics
The following metrics were computed from 1 interview experience for the EvenUp ML Engineer role.
Success Rate
EvenUp's interview process for their ML Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for EvenUp's ML Engineer interview process.
EvenUp Work Experiences
- 5.0Rocketship start-up with fantastic engineering cultureSenior Software Engineer • Current EmployeeAugust 8, 2024Pros: The term "hyper growth" is overused, but in this case it is absolutely true and backed up by hard numbers. With that comes a ton of interesting problems to solve, and leaders actively give people opportunities to work on problems that they want. I feel comfortable to take risks and challenge myself here.Cons: Start-up problems come with fuzzy boundaries, and if the problems were easy, someone else would've solved them already. Colleagues are super friendly and helpful, but don't expect hand-holding every step of the way. Sometimes you gotta go the extra mile to help the team win.
- 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.
