Process
HR reached out and scheduled my first-round interview.
After the first-round interview, I was ghosted.
This might be because I don't have much ads-related DL experience, and it's a tight market.
I guess I will move on.
Questions
Asked several easy machine learning questions for a sanity check. Also, deep-dived into resume projects.
The coding question was: Given a list of integers, you can add and multiply from left to right, regardless of priority. Can the target be computed?
The follow-up was to consider minus and divide as well.
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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
- 5.0Machine learning engineerMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesSeptember 8, 2018Pros: Perks * Free food * Impact of work * Friendly people * Good managerCons: Food can be improved despite free. No other issues.
- 4.0Great Company, Pay, BenefitsMachine Learning Engineer • Current EmployeeMarch 14, 2022Pros: Pay is very competitive. RSUs vest quarterly. Benefits are great (not as good as Meta or Google but still great). Smart colleagues (engineering). Work-life balance is great.Cons: Stock price dropped, and so did morale. Leadership at the very top does not give ICs confidence. There is a poor sense of direction at a company-wide level.
- 4.0Strong on work culture, inclusion, and work-life balanceMachine Learning Engineer • Current EmployeeDecember 30, 2024Pros: 1. Very collaborative, inclusive, and creativity-driven. 2. As machine learning engineers, you are encouraged to take ownership of projects and propose innovative solutions that have high impact towards product goals. 3. Flexibility of working remotely and flexible working hours. 4. Opportunities to work on large-scale, high-quality datasets and complex models and signals that impact the performance of models powering the recommender system.Cons: Career growth might feel slower for senior engineers, as competition is pretty high.
Pinterest Interview Questions
