Software Engineer (ML/AI) Interview Experience - Toronto, Canada
Process
Talked about the general knowledge of how to build multi-source data pipelines to gather different forms of data and put them into a data lake, distributed system design, and microservice architecture.
The coding part consists of Python and SQL. Both are LeetCode easy level.
Questions
How would you design a multi-processor system to handle tasks of different time costs?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Rakuten Software Engineer (ML/AI) role in Toronto, Ontario.
Success Rate
Rakuten's interview process for their Software Engineer (ML/AI) roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Rakuten's Software Engineer (ML/AI) interview process in Toronto, Ontario.
Rakuten Work Experiences
- 4.0Decent working cultureSr Data Engineer • Current EmployeeToronto, Ontario, CanadaAugust 31, 2025Pros: Good work-life balance, many fun activities, and great benefits.Cons: Pay can be better. Stock options are in JPY, hence not worth much. Asked to return to office four days a week starting 2026.
- 4.0Great place to work and advanceStaff Software Engineer • Current EmployeeToronto, Ontario, CanadaFebruary 19, 2022Pros: - Lots of opportunities to try new things - Many opportunities to advance - Work in small teams with some autonomyCons: - Salary and benefits may not be as competitive as other large companies.
- 4.0Great company to work forSoftware Engineer • Current EmployeeToronto, Ontario, CanadaFebruary 17, 2025Pros: Usually pays better than what the average says here on Glassdoor. Good working culture. Lots of company events. Everybody minds their own business at work, but nobody is afraid of asking questions.Cons: There have been layoffs. It kills the mood. Work is hard.
Rakuten Interview Questions
