Bloom Energy Machine Learning / Data Science Intern �
San Jose, CA·93 interview reviews·Medium difficulty
Machine Learning / Data Science Intern � Interview Reviews
93CodeSignal 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.
“Rotate Image - Rotate an N x N matrix by 90 degrees clockwise in-place”
Applied online and heard back in about a week. The technical interview was 45 minutes with two coding problems. Focus on time complexity and edge cases. The behavioral portion was brief but important.
“Best Time to Buy and Sell Stock - Find the maximum profit from buying and selling one share of stock”
Online 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.
“Describe a challenging project you worked on and how you overcame obstacles”
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.
“K Closest Points to Origin - Find K points closest to origin using Manhattan distance”
Applied online and heard back in about a week. The technical interview was 45 minutes with two coding problems. Focus on time complexity and edge cases. The behavioral portion was brief but important.
“Two Sum variant and string manipulation”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Machine Learning / Data Science Intern � at Bloom Energy?
The interview difficulty is rated 3.3/5 by candidates. 54% report a positive experience. Focus on Machine Learning, Python, Statistics 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. 64% 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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