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JP Morgan Chase
AI Engineer
JP Morgan Chase·Posted 1 month ago · Jun 2026

Recruiter contacted, set up 1st round phone screen with a senior engineer. 45 mins with 20 mins on past projects etc diving in detial before talking about AI/LLM concepts. Was easy 2nd round was 2 stanmdard leetcode coding qns 45 mins with 1st 15 mins on behvaioural so only 30 mins to solve both qns but was quite doable. Walked though the brute force naive approach before moving on to the optimal solution and O(nlogn) etc tiome complexity.

2 rounds4 questions
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TikTok
Machine Learning Engineer
TikTok·Posted 1 month ago · Jun 2026

The process generally be good, and enjoyable, not too much difficult. but needs to explain deeply to interviewer.

3 rounds3 questions
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Retool
Software Engineer
Retool·Posted 1 month ago · Jun 2026

They were open to remote for the right fit. They were reasonably quick and accommodating with getting the different rounds scheduled within a 2 week time period.

4 rounds3 questions
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Uber
Engineering Manager
Uber·Posted 1 month ago · Jun 2026

The process was smooth and candidate friendly. The recruiter gave enough context about the rounds. I found the feedback received was at a very high level and not much details were shared specifically for the design round.

2 rounds4 questions
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Booking.com
Software Engineer
Booking.com·Posted 1 month ago · Jun 2026

The process was well-organized and moved at a reasonable pace. Communication from the recruiter was clear, and each round had a defined focus, so I always knew what to expect. The interviewers were professional and gave me space to walk through my thinking. What went well was the technical discussion , it felt like a genuine conversation rather than a checklist, and the questions were relevant to the role. What could have been smoother was the scheduling between rounds, which took a bit longer than expected, and I would have appreciated slightly more feedback along the way.

1 round2 questions
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Stripe
Software Engineer
Stripe·Posted 1 month ago · Jun 2026

Till now the process has been relatively easy if you prep well. Make sure to practice when to use which data structures, explain why you are using them.

2 rounds
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Shopify
Machine Learning Engineer
Shopify·Posted 1 month ago · Jun 2026

The overall process was well organized, and the recruiter was clear about what to expect. The interviewers were professional and friendly. The technical round was more open-ended than I expected, so I could have done a better job clarifying requirements and structuring my solution before diving into details.

3 rounds1 question
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Meta
Software Engineer
Meta·Posted 1 month ago · Jun 2026

The process was pretty rigorous, mainly because the bar at E6 felt more about scope and judgement than just solving the questions. Recruiter was clear and helpful. The coding rounds went ok, but I spent too long explaining some edge cases. Design was probably the strongest part, good back-and-forth and tradeoffs. Behavioral was fine, though I could’ve been more specific with impact numbers. Overall, a solid process but definitely tiring.

1 round4 questions
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Meta
Machine Learning Engineer
Meta·Posted 1 month ago · Jun 2026

traditional interviews for MLE. coding rounds are AI-enabled meaning you can use claude or codex to write the code.

2 rounds2 questions
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