How hard is the State Street Bestx AI Engineer Intern interview?

The State Street Bestx AI Engineer Intern interview is rated Medium difficulty. The State Street Bestx AI Engineer Intern interview typically consists of a recruiter screen followed by 1–2 technical rounds. Expect Machine Learning and Python questions.

What questions are asked in the State Street Bestx AI Engineer Intern interview?

Common topics include Machine Learning, Python, Statistics, Algorithms. Describe a challenging Machine Learning problem you solved.

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

Situation: During my CS capstone project, I was paired with a teammate who rarely attended meetings and didn't complete assigned tasks on time. Task: I needed to ensure our group project stayed on track while maintaining team harmony. Action: I approached them privately to understand if they were facing personal challenges. I discovered they were struggling with the framework we chose. I offered to pair-program and created a shared study schedule. Result: Our teammate became more engaged, contributed meaningfully, and we delivered a successful application.

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State Street Bestx AI Engineer Intern

Quincy, MA·33 interview reviews·Medium difficulty

51% positive62% applied onlinePosted today

Difficulty

2.6/ 5

Experience

Positive51%

Neutral41%

Negative8%

Interview Source

Applied online62%

Recruiter16%

Referral19%

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Bestx AI Engineer Intern Interview Reviews

Bestx AI Engineer Intern Candidate

Oct 17, 2026 · Austin, TX

✗ No offerNegativeAverage

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.

Interview QuestionMedium

“K Closest Points to Origin - Find K points closest to origin using Manhattan distance”

Heap

Bestx AI Engineer Intern Candidate

Dec 13, 2026 · Austin, TX

✗ No offerNegativeEasy

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.

Interview QuestionMedium

“Product of Array Except Self - Return an array where each element is the product of all other elements”

Arrays

Bestx AI Engineer Intern Candidate

Nov 7, 2026 · Menlo Park, CA

✓ OfferNeutralAverage

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.

Interview QuestionMedium

“Describe a challenging project you worked on and how you overcame obstacles”

Problem SolvingBehavioral

Bestx AI Engineer Intern Candidate

Sep 25, 2026 · Seattle, WA

✗ No 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 QuestionEasy

“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”

Arrays & Hashing

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About This Role

Focus Areas

Machine LearningPythonStatistics

Key Skills

Machine LearningPythonStatisticsAlgorithms

Details

CompanyState Street

LocationQuincy, MA

Postedtoday

TierEnterprise

Frequently Asked Questions

How hard is it to get hired as a Bestx AI Engineer Intern at State Street?

The interview difficulty is rated 2.6/5 by candidates. 51% report a positive experience. Focus on Machine Learning, Python, Statistics to improve your chances.

How long does the State Street Bestx AI Engineer 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. 62% of candidates applied online.

What questions are asked in a State Street Bestx AI Engineer 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.