Bloom Energy Machine Learning / Data Science Intern �

Remote·210 interview reviews·Medium difficulty

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.

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.

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.

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.

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. 54% 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. 67% 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.