Stripe

Machine Learning Engineer Interview Experience - Canada

April 1, 2025

Neutral ExperienceNo Offer

Process

The interview process included:

Two technical screens (coding, ML coding).
An onsite interview with four rounds: coding, debugging, system design, and a hiring manager interview.

Coding questions focused on OOP and class orientation. The problems were practical. The ML coding round provided a dataset, and the task was to build and evaluate a model within one hour.

Questions

System design had an emphasis on real-time deployment.

Interview Statistics

The following metrics were computed from 3 interview experiences for the Stripe Machine Learning Engineer role in Canada.

Success Rate

Pass Rate

Stripe's interview process for their Machine Learning Engineer roles in Canada is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive67%

Neutral33%

Negative0%

Candidates reported having very good feelings for Stripe's Machine Learning Engineer interview process in Canada.

Stripe Interview Questions

Minimum Penalty for a Shop

Medium

Imagine you're managing a shop and need to decide when to close to minimize penalties. Determine the optimal closing time based on customer arrival data to reduce losses.

ArraysTwo PointersSliding Windows

Evaluate Division

Medium

You are given equations represented by pairs of variables and their corresponding values. Your task is to evaluate queries based on these equations, determining the value of expressions if possible, or returning -1.0 if not.

Graphs

Cheapest Flights Within K Stops

Medium

Find the cheapest price to fly from a source to a destination with at most K stops. You're given a list of flights with prices and need to determine the optimal route within the stop limit.

GraphsDynamic Programming