Process
I had an email conversation with a recruiter for a university grad MLE position.
This was followed by a technical assessment.
That was the entirety of my interview process.
The assessment was 70 minutes long and included:
- 3 coding questions
- 2 ML quiz questions
- 1 output-only question
Questions
The coding questions in the assessment involved one data structure coding question and two ML coding questions. In 70 minutes, candidates were expected to solve everything along with the quizzes.
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Interview Statistics
The following metrics were computed from 23 interview experiences for the Pinterest Machine Learning Engineer role in United States.
Success Rate
Pinterest's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having good feelings for Pinterest's Machine Learning Engineer interview process in United States.
Pinterest Work Experiences
- 5.0Great culture and people, but uncertain directionMachine Learning Engineer • Current EmployeeNew York, NYMay 26, 2026Pros: Great culture, great people, remote-first.Cons: I am not entirely sure where the company is headed.
- 4.0Great place to workMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesJanuary 4, 2025Pros: Remote work options available. Unlimited PTO.Cons: Leadership keeps changing direction many a time.
- 5.0Great engineering team, goal-drivenMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesApril 26, 2024Pros: Most people at Pinterest are top of their class and pretty good in their job. Execution quality is top notch since Ready took over.Cons: We still have room to increase the quality of our senior leadership.
Pinterest Interview Questions
