Process
Applied online.
Received a take-home assessment after 3 weeks.
Got a rejection right after submitting the take-home assessment.
No feedback was provided.
The take-home assessment included:
- One algorithm question
- Two data manipulation questions
- One SQL question
- One question asking for a short paragraph on favorite tools
Questions
One algorithm question,
Two data manipulation questions,
One SQL question,
And one question asking for a short paragraph on favorite tools.
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Interview Statistics
The following metrics were computed from 10 interview experiences for the Klaviyo Machine Learning Engineer role in United States.
Success Rate
0%
Pass Rate
Klaviyo's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive20%
Neutral50%
Negative30%
Candidates reported having negative feelings for Klaviyo's Machine Learning Engineer interview process in United States.
Klaviyo Work Experiences
4.0
Good place to learn
Machine Learning Engineer • Former Employee
Boston, MA
July 15, 2023
Pros: Strong culture, smart people, mostly nice, and good benefits.
Cons: Strong corporate vibes after Series D, and the culture became less open and more IPO-driven.
2.0
Keeps getting worse
Software Engineer • Current Employee
Boston, MA
May 8, 2023
Pros: Colleagues are smart, capable, and helpful. Career growth is possible if you’re competent.
Cons: Leadership is *awful*. The CEO can’t keep his mouth shut, and blurts out something toxic every time he talks.
* Shady layoffs
* Rug pull on RTO
* Low compensation for engineers
* Brutal on call that we don’t get over time pay for
2.0
Embracing AI, but prone to excess noise
Senior Software Engineer • Current Employee
Boston, MA
August 29, 2026
Pros: Willing to embrace AI in all processes
Cons: Sometimes there is too much thrash.
- 4.0Good place to learnMachine Learning Engineer • Former EmployeeBoston, MAJuly 15, 2023Pros: Strong culture, smart people, mostly nice, and good benefits.Cons: Strong corporate vibes after Series D, and the culture became less open and more IPO-driven.
- 2.0Keeps getting worseSoftware Engineer • Current EmployeeBoston, MAMay 8, 2023Pros: Colleagues are smart, capable, and helpful. Career growth is possible if you’re competent.Cons: Leadership is *awful*. The CEO can’t keep his mouth shut, and blurts out something toxic every time he talks. * Shady layoffs * Rug pull on RTO * Low compensation for engineers * Brutal on call that we don’t get over time pay for
- 2.0Embracing AI, but prone to excess noiseSenior Software Engineer • Current EmployeeBoston, MAAugust 29, 2026Pros: Willing to embrace AI in all processesCons: Sometimes there is too much thrash.
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