ML Theory Interview Questions

162+ real questions from verified interview reports across 12 companies.

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Sample ML Theory Questions

I applied for a ML position ( training and making for their systems ) for Perception. Phone Interview: Asked some basic Machine learning questions. Some interesting insights about thier system in tracking...

Here's an update on a less common interview experience with Luma AI, they've been quite popular lately. Please give me some points! The screening round was with the hiring manager (HM). They asked abo

The interview for an ML generalist started with simple background questions, followed by some follow-up questions about model architecture/deployment. Then they tested me on NumPy array operations. I

This post was last edited by Anonymous on 2025-10-09 11:19 OA: This has been posted many times on the forum. One question was linear interpolation, another was pandas data processing + scikit-learn li

I have Karat interview scheduled for AIML full time role, its gonna be 1 hr, do you know what should I expect from this? like typical DSA or ML type questions? I'm not able to find any information abo

This post was last edited by an anonymous forum user on 2025-09-27 20:06. Five rounds: one coding round, one ML system design round, one ML model design round, and one behavioral questions (BQ) round.

The questions seem to be randomly selected from a question bank, divided into statistics, machine learning, and coding questions. The overall difficulty isn't high. I've included a few screenshots. Ne

This was my first online assessment (OA) since applying. I applied on October 6th and received the invitation on October 10th, completing it within three days. There were three questions. The first wa

I applied to this company last year and got an interview, but withdrew because I thought the process was too long. I reapplied this year and was scheduled for an interview the next day. The first roun

These questions were randomly selected from a question bank and are divided into statistics, machine learning, and coding problems. The overall difficulty is not high. I've included a few screenshots.

I was given a case and had to build a model on the spot, from feature selection to model building, walk through it end-to-end. The interviewer was very unprofessional and somewhat...listless. When ask

The interview was with Alpha Research. They asked a lot of questions about my resume, as well as DL fundamentals. The following content requires a score of 188 or higher to view. They paid great atten

This is a fresh interview experience from last week. I'd appreciate some points, as I need to look at other companies' interview experiences... The Senior-level MLE interview was an HR reach-out, sche

Status: 2020 Grad , Normal Private College (Tier 3/4) Current Company : Tata Power Ltd (Lead Engineer) Company Interviewing: Apple Position they offer: Data Scientist Location: Virtual Date: Feb, 2022 Applied Thorugh : Career Page I applied...

The scheduled interview was an hour long. First 30 min. ML Design. I was asked to design a recommendation algorithm for tiktok suggesting videos to users within their followed circle. Discuss requirements. Metrics...

I had a hard time finding details about research scientist interviews, so here\'s my single round experience. There were two back-to-back interviews. 1. Discussion + coding with research scientist \t Questions about...

Date: 5th Feb 2024 Location: Singapore Interviewer: Senior Algorithm Engineer based in China Duration of interview: 1 hour Platform used for interview: Lark Flow of interview: - Basic self-intro (1 - 3 mins) - Resume deep dive...

I interviewed for a summer intern position in the MLE recommendation team at TT. The first round was a call with HR, which was very simple; we just talked about availability, etc. At the end, the HR w

I need some points! I want to accumulate more to read interview experiences. This happened in early August when a TikTok LinkedIn HR contacted me. I was interviewing for another TikTok Researcher grad

Timeline: 1.5 months Total rounds: 5 1. HR phone screen: Recruiter will first reach out to you to understand who you are and ask about your past experience. If you are a...

We discussed past project experience. They asked a lot of formulaic questions about machine learning (ML), including recall, F1-score precision, confusion matrix, decision trees, random forests, and X

Round 1: HR Interview This round had no technical questions. It mainly focused on understanding my personal background, project experiences, interest in the position, and visa status. Overall, it was

Background: PhD in ML with 4+ years ML exp at non FAANG top tier company Facebook Recruiter reached out and I had phone screen in December: Standard 2 Medium LC\'s from...

Status: Experience as Software engineer and ML engineer, B.Tech in Mechanical Engg (from Tier 1 college) Position: Machine Learning Engineer at Google Location: Bangalore, India Date: 5th December, 2019 I have been contacted by...

YOE: 3 in research company in ML + NLP domain Education: masters in computer engineering, bachelors in EE Got recruiter call for Amazon Go teams, took the call but mentioned interest in...

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