Katkat

Company

Fireworks interview questions

2 practice questions in the style of Fireworks's interviews, covering Software Engineering Fundamentals, ML System Design.

Questions2

0 easy2 medium0 hard

Your progress0/2

Fireworks interview questions by the numbers

Last updated

Katkat has 2 Fireworks interview questions. The largest topics are ML System Design (50%) and Software Engineering Fundamentals (50%). By difficulty: 100% medium. The most common round is Onsite (50%). Frequent concepts include Evaluation Metrics, Graph ML, ML System Design and Ranking.

Topics

Difficulty

  • Medium100% · 2

Interview rounds

  • Onsite50% · 1
  • Technical Screen50% · 1

Roles

  • Machine Learning Engineer50% · 1
  • Software Engineer50% · 1

Frequent concepts

  • Evaluation Metrics50% · 1
  • Graph ML50% · 1
  • ML System Design50% · 1
  • Ranking50% · 1
  • Recommender Systems50% · 1

Showing 1–2 of 2 results

  • Detect Security Attacks in Text Logs Using Sliding-Window RulesMedium

    Write a program that scans large text-format network logs and reports security attacks defined by rules, such as one source IP contacting more than 10 distinct destination IPs within 10 minutes. It tests parsing, per-source sliding-window state, optimizing a slow first version, and designing targeted test cases.

    FireworksSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • Recommend Connections Through Mutual Friends and Evaluate the RankingMedium

    Design a connection recommendation system based on mutual connections, define bounded graph affinity scores, and evaluate the ranking pipeline using metrics like NDCG with independent labels.

    FireworksMachine Learning EngineerML System DesignOnsite

Fireworks interview experiences

All 2 →
  • AI-Allowed Phone Screen on Detecting Attacks in LogsFireworks · Software Engineer · Technical Screen · Oct 2026
    Rejected

    It was a 45-minute phone screen. The recruiter sent me the problem in advance and said I could use AI for coding. The problem was how to detect security attacks in a pile of text-format logs according to given rules. The interviewer had already given me the rules (for example, a source IP accessing more than 10 different destination IPs within 10 minutes). I asked whether I could use AI, and the…

  • AI-Assisted CodingFireworks · Machine Learning Engineer · Onsite · Sep 2026

    They asked me to create a referral system that recommends a list of other users for any given user, using the network of all users. The network consists of nodes, and two users are friends if their nodes are connected by an edge. Don't recommend current friends. Base recommendations on mutual friends: A and B are both connected to the same node, but A and B are not directly connected. Second, giv…

More companies