Machine Learning Engineer Interview Experience - Toronto, Ontario
February 1, 2025
Positive ExperienceNo Offer
Process
There are four rounds in total:
- 1 code (leetcode easy level)
- 2 ML concepts (focus on fundamental traditional ML stuff)
- 3 ML system design
- 4 BQ and project
NDA is signed for the last two rounds. The recruiter will tell you the expected topics.
Questions
Basic ML concepts like L1 and L2 norm/loss.
Concepts like recall and precision, etc.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Instacart Machine Learning Engineer role in Toronto, Ontario.
Success Rate
0%
Pass Rate
Instacart's interview process for their Machine Learning Engineer roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Instacart's Machine Learning Engineer interview process in Toronto, Ontario.
Instacart Work Experiences
5.0
Great learning opportunities
Machine Learning Engineer • Current Employee
Toronto, Ontario, Canada
July 23, 2025
Pros: Lots of smart people are there. Many of my teammates were previously from Meta, Amazon, and Google, and universities like Stanford and Princeton. You can learn a lot and work on interesting projects.
Cons: Workload is sometimes a lot.
5.0
MLE Intern Experience
Machine Learning Engineer • Former Employee
New York, New York, United States
November 12, 2025
Pros: 1. Culture and vibe are great.
2. People are nice.
3. Questions are interesting.
Cons: Sometimes I lose the boundary between work and life since it's fully remote.
The upside is no commuting time.
The downside is I can't stop working.
3.0
Good Perks, Bad Culture
Machine Learning Engineer • Current Employee
San Francisco, California, United States
May 4, 2025
Pros: benefits
remote company
time off
Cons: political environment
poor work-life balance
- 5.0Great learning opportunitiesMachine Learning Engineer • Current EmployeeToronto, Ontario, CanadaJuly 23, 2025Pros: Lots of smart people are there. Many of my teammates were previously from Meta, Amazon, and Google, and universities like Stanford and Princeton. You can learn a lot and work on interesting projects.Cons: Workload is sometimes a lot.
- 5.0MLE Intern ExperienceMachine Learning Engineer • Former EmployeeNew York, New York, United StatesNovember 12, 2025Pros: 1. Culture and vibe are great. 2. People are nice. 3. Questions are interesting.Cons: Sometimes I lose the boundary between work and life since it's fully remote. The upside is no commuting time. The downside is I can't stop working.
- 3.0Good Perks, Bad CultureMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesMay 4, 2025Pros: benefits remote company time offCons: political environment poor work-life balance
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