Principal Machine Learning Engineer Interview Experience - Toronto, Canada
Process
I applied through a recruiter.
This company will waste your time… NOT WORTH IT AT ALL… Did 8 rounds in total; one HR, one initial casual chat with one of the directors; rest were coding and ML knowledge.
I found one of the interviewers to lack general knowledge and understanding of the matter and she influenced the flow of the interview. I addressed more than 90% of their questions and I was praised left and right but did not get an offer.
I honestly think they arrange interviews with senior folks just to get some ideas for some of the critical questions they are facing. My suggestion: do not waste your time on this company.
Questions
General ML and NLP General RAG questions
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Interview Statistics
The following metrics were computed from 1 interview experience for the EvenUp Principal Machine Learning Engineer role in Toronto, Ontario.
Success Rate
EvenUp's interview process for their Principal Machine Learning Engineer roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for EvenUp's Principal Machine Learning Engineer interview process in Toronto, Ontario.
EvenUp Work Experiences
- 5.0Fast paced, great cultureEngineering • Current EmployeeSan Francisco, CAJuly 10, 2025Pros: EvenUp is genuinely a great place to work, especially if you enjoy solving real-world problems using cutting-edge tech. The team is smart, supportive, and committed to making a real impact in legal tech. Leadership is transparent, regularly shares company direction, and is genuinely open to feedback. There's also lots of autonomy here, so you can take ownership of big projects early on.Cons: As with many growing startups, the pace at EvenUp can sometimes be intense. Work-life balance occasionally takes a hit during crunch periods, though leadership has been actively trying to address this. The processes can feel chaotic or under-defined at times, and communication across teams sometimes gets messy as the company scales. It’s definitely a place best suited for folks who are comfortable with change and a bit of ambiguity.
- 2.0Overrated and underdeliveredCAD Drafter • Current EmployeeToronto, ONDecember 17, 2024Pros: Remote and good flexibility if you do your workCons: Terrible pay and ask for too much.
- 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.
