AI Interview PrepLeetCode for MLMachine Learning System Design

Do AI Engineers Need LeetCode? The 2025 Interview Reality Check

The debate is settled. We analyzed thousands of Reddit comments to determine exactly how much DSA you need for AI roles versus pure Machine Learning system design.

S

Sidharth

November 25, 2025

The "Universal Filter" Reality

There is a fantasy that because AI is "advanced," companies will skip the basic coding tests. This is false.

According to a blunt discussion on r/leetcode, "Leetcode will never stop. It is the ultimate filter." Even if the job is 90% prompt engineering, the hiring manager uses LeetCode as a proxy for "general problem-solving ability" and "intelligence."

However, the balance is different for AI roles compared to Backend roles. You need a different study strategy.

Level 1: Data Fluency

Pandas, SQL, Transformations

Must Have

Level 2: The Filter (DSA)

Arrays, Trees, Graphs

The Gatekeeper

Level 3: The Offer

"Design YouTube Recs"

Tie Breaker

The AI Interview Hierarchy of Needs

The New Category: "ML Coding"

Beyond standard LeetCode, a new category of questions is emerging for Applied Scientist roles. As one Redditor noted: "My coding rounds... are all ML coding and actually related to what we may do at work."

What does "ML Coding" look like?

  • Scratch Implementation: "Code Linear Regression or K-Means without using sklearn."
  • Pipeline Design: "Write a Python class to clean, tokenize, and batch a 10GB text dataset efficiently."
  • Vector Ops: "Implement Dot Product or Matrix Multiplication using NumPy."

Pro Tip: You can't pass the coding interview if your resume gets rejected first. Does your resume highlight your Engineering skills (Python, C++) or just your Research skills? Scan it now to see how recruiters categorize you.

Company-Specific Cheat Sheet

Based on crowdsourced data from r/cscareerquestions, here is how the giants interview:

G Google

Heavy LeetCode

"I have always grinded leetcode... it pays off." Expect Hard/Medium DP and Graph problems.

M Meta

Speed & Standard

Uses "standard SWE questions" but expects speed. Solving 2 Mediums in 45 mins is the norm.

M Microsoft

Practical/Language

Often leans towards practical, language-specific questions (e.g., JavaScript/Python nuances) over pure DSA.

Conclusion: Balance is Key

If the job description says "Research Scientist," study Math. If it says "AI Engineer," study LeetCode. The industry is biasing towards General Software Engineering (SWE) skills as AI becomes just another API in the stack.

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