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Bloom Energy Machine Learning / Data Science Intern �

San Jose, CA·111 interview reviews·Medium difficulty

60% positive57% applied onlinePosted today
Difficulty
3.1/ 5
Experience
Positive60%
Neutral23%
Negative17%
Interview Source
Applied online57%
Recruiter22%
Referral19%
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Machine Learning / Data Science Intern � Interview Reviews

111
M
Machine Learning / Data Science Intern � Candidate
Feb 20, 2026 · Menlo Park, CA
✗ No offerNeutralAverage

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.

Interview QuestionMedium

Binary Tree Vertical Order Traversal - Return vertical order traversal of nodes

Trees
S
Machine Learning / Data Science Intern � Candidate
Mar 26, 2025 · Seattle, WA
✗ No offerNeutralAverage

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.

Interview QuestionMedium

Clone Graph - Create a deep copy of an undirected graph

Graphs
R
Machine Learning / Data Science Intern � Candidate
Jan 19, 2026 · Remote
✓ OfferNeutralAverage

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.

Interview QuestionMedium

Tell me about a time when you had to work with a difficult team member

TeamworkBehavioral
S
Machine Learning / Data Science Intern � Candidate
Nov 4, 2026 · San Francisco, CA
✗ No offerNegativeAverage

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.

Interview QuestionMedium

LRU Cache - Design a data structure for Least Recently Used cache

Design
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About This Role

Focus Areas
Machine LearningPythonStatistics
Key Skills
Machine LearningPythonStatisticsAlgorithms
Details
CompanyBloom Energy
LocationSan Jose, CA
Postedtoday
TierEnterprise

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 3.1/5 by candidates. 60% 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. 57% 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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