Slingshot AI Machine Learning Engineer interview questions
based on 1 rating - Updated 24 May 2025
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Machine Learning Engineer applicants have rated the interview process at Slingshot AI with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 100% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Slingshot AI as a Machine Learning Engineer according to 1 Glassdoor interviews include:
The take-home challenge was an open-ended machine learning task focused on exploring perplexity as a metric. There wasn’t much guidance, but the process felt fair overall. I gave it a strong effort, uncovered some useful insights, and made reasonable progress given the scope. Unfortunately, I wasn’t selected for the next stage. While the feedback and communication could’ve been clearer, I still appreciated the opportunity to tackle a real-world-style problem.