Katkat

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EliseAI interview questions

7 practice questions in the style of EliseAI's interviews, covering Software Engineering Fundamentals, Behavioral & Leadership, Machine Learning.

Questions7

4 easy3 medium0 hard

Your progress0/7

EliseAI interview questions by the numbers

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Katkat has 7 EliseAI interview questions. The largest topics are Behavioral & Leadership (57%), Software Engineering Fundamentals (29%) and Machine Learning (14%). By difficulty: 57% easy and 43% medium. The most common round is Technical Screen (100%). Frequent concepts include Algorithms, Communication, Engineering Process and Leadership.

Difficulty

  • Easy57% · 4
  • Medium43% · 3

Interview rounds

  • Technical Screen100% · 7

Roles

  • Software Engineer86% · 6
  • Data Scientist14% · 1

Frequent concepts

  • Algorithms14% · 1
  • Communication14% · 1
  • Engineering Process14% · 1
  • Leadership14% · 1
  • Probability14% · 1
  • Randomness14% · 1

Showing 1–7 of 7 results

  • This question tests the ability to analyze algorithm correctness through probability theory and identify common pitfalls in pseudo-random number generation that lead to selection bias.

    EliseAISoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • A behavioral question asking what a previous engineering team did not do well. Tests whether a candidate can name a specific, fixable weakness, explain its cost and systemic cause, describe their own part in improving it and stay constructive without blaming former colleagues.

    EliseAISoftware EngineerBehavioral & LeadershipTechnical Screen
  • This question assesses the candidate's ability to articulate technical trade-offs, reflect on past architectural decisions, and demonstrate maturity in implementing new engineering processes within an existing team culture.

    EliseAISoftware EngineerBehavioral & LeadershipTechnical Screen
  • The opening of a software engineer phone screen: give a concise introduction of yourself and explain what you are looking for in your next role. Tests narrative structure, the choice of specific highlights that set up a technical deep dive, and motivation that is backed by evidence and fits the role.

    EliseAISoftware EngineerBehavioral & LeadershipTechnical Screen
  • A machine learning take-home on predicting lease renewals from tenant conversations and SQLite tables of residents, maintenance work orders and renewal offers. It covers preprocessing, a metric compared with a random baseline, a test-set prediction file, categorizing non-renewal reasons with gte-base embeddings, and presenting the results.

    EliseAIData ScientistMachine LearningTechnical Screen
  • A code-reading exercise: assess a short Python function that walks a list and swaps each element with a randomly chosen position at or before it. Tests tracing unfamiliar code, reasoning about whether every ordering is equally likely, input-type edge cases such as strings, and practical code-review judgment.

    EliseAISoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • Describe a technical system you implemented at a previous company, the technical decisions you made along the way and the hardest part of the work. Tests clear ownership, trade-off reasoning between real alternatives, technical depth under probing and honest reflection on what was difficult.

    EliseAISoftware EngineerBehavioral & LeadershipTechnical Screen

EliseAI interview experiences

All 2 →
  • 30-Minute Phone Screen with a Code-Reading QuestionEliseAI · Software Engineer · Technical Screen · Jul 2026

    Format: 30 min video call. Mostly behavioral and experience questions, then a short code-reading exercise at the end. Questions: Tell me about yourself What are you looking for in a new role? Talk about a technical thing you've implemented at a previous company, including the technical decisions. What was the hardest part about that? What's something your previous engineering team didn't do well?…

  • Tic-Tac-Toe Coding Round and a Lease Renewal Take-homeEliseAI · Data Scientist · Take-home Project · Nov 2025

    I applied online and a recruiter reached out. The first round was a 30-minute chat with a team member. The second round was coding, a tic-tac-toe variant. I'd suggest looking at all three of these: 348 - Design Tic-Tac-Toe 794 - Valid Tic-Tac-Toe State 1275 - Find Winner on a Tic Tac Toe Game The third round was a take-home: you get 24 hours to do it, and then there is a 30-minute presentation. T…

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