Bloom Energy Machine Learning / Data Science Intern �
San Jose, CA·166 interview reviews·Medium difficulty
Machine Learning / Data Science Intern � Interview Reviews
166Just 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.
“Design Rate Limiter - Implement an API rate limiting system”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“LRU Cache - Design a data structure for Least Recently Used cache”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“How do you handle tight deadlines and pressure?”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Rotate Image - Rotate an N x N matrix by 90 degrees clockwise in-place”
Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.
“Design a rate limiter + array manipulation problem”
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. 79% 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. 73% 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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