Name: Coding Round Grades
Uploaded: 2025-06-03T13:37:10+00:00
Duration: 2 min 3 s
Description: In this segment, we break down what interviewers really look for in a machine learning coding round

Coding Round Grades

In this segment, we break down what interviewers really look for in a machine learning coding round. It’s not just about solving the problem—it's about how we think, communicate, and write code that reflects real engineering practices.

- We understand that **weak performance** stems from messy code, poor use of data structures, or inability to explain complexity.
- **Mediocre performance** may reach the right answer but relies heavily on interviewer help, signaling a lack of confidence or strategy.
- A **great performance** involves writing clean, efficient code and clearly explaining trade-offs and scalability.
- To be **exceptional**, we should offer multiple solutions, consider edge cases, and write production-quality code.
- We improve by following a **systematic approach**, thinking out loud, handling edge cases, and prioritizing clean, readable code—just like real ML engineers do in production.

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In this segment, we break down what interviewers really look for in a machine learning coding round

Tech has one of the highest rates of job switching, making this skill incredibly high-leverage and vital to master. Understand what it takes to convince companies you are strongly competent.