I applied through an employee referral. I interviewed at Pinterest (Toronto, ON)
Interview
First phone screen conducted on coderpad. Introductions, 5 mins resume screening, 5 mins machine learning MCQs, 40 mins on a leetcode question. The expectation was to solve the base case and then add edge cases and test the code.
Interview questions [2]
Question 1
Is vanishing gradients a problem closer to the start of the neural net or towards the end?
Thanks so much for interviewing at Pinterest, and for sharing this review. We’re so glad you had a positive experience throughout our recruitment process. If you have any additional details that you’d like to share, send us an email at gd@pinterest.com.
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Other Machine Learning Engineer interview reviews for Pinterest
The phone screen was a mix of behavioral questions and some basic technical concepts, which was a bit different from what I anticipated. After that, I faced a technical round that focused on implementing sparse matrix operations. To my surprise, the coding question was nearly identical to what I'd practiced in the algorithm section on PracHub just days before. The onsite interview included some more DSA challenges and a discussion on machine learning concepts, which helped me feel well-prepared. Overall, the experience was smooth, and I accepted the offer afterward.
Interview questions [1]
Question 1
Implement sparse matrix storage, addition, and multiplication
The assessment time was very short and harsh. There were lots of questions with a very limited time. I liked the other big companies' assessments better. For example, Meta and Google assessments are through talking to a person while coding.
I applied for the new grad MLE position. The process included an online assessment, a 20-minute HR call, and four onsite interviews (two coding and two machine learning system design).
