Bloom Energy Machine Learning / Data Science Intern �
San Jose, CA·208 interview reviews·Medium difficulty
Machine Learning / Data Science Intern � Interview Reviews
208Online 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.
“Design Web Crawler - Design a distributed web crawling system”
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.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
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.
“Tell me about a time when you had to work with a difficult team member”
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.
“Design Rate Limiter - Implement an API rate limiting system”
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. 61% 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. 66% 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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