Bloom Energy Machine Learning / Data Science Intern �
Remote·191 interview reviews·Medium difficulty
Energy Machine Learning / Data Science Intern � Interview Reviews
191Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters”
The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.
“Binary Tree Vertical Order Traversal - Return vertical order traversal of nodes”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Give an example of when you had to make a difficult trade-off decision”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Design TinyURL - Design a URL shortening service like bit.ly”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Energy Machine Learning / Data Science Intern � at Bloom?
The interview difficulty is rated 3.1/5 by candidates. 76% report a positive experience. Focus on Software Development, System Design, Behavioral to improve your chances.
How long does the Bloom Energy Machine Learning / Data Science Intern � hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 69% of candidates applied online.
What questions are asked in a Bloom Energy Machine Learning / Data Science Intern � interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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