How many deep-learning interview questions are there?

2 reported questions, mostly ML Fundamentals & Algorithms.

How hard are deep-learning questions?

They average 3.5 out of 5: 1 at 3/5, 1 at 4/5.

deep-learning Interview Questions

2 interview questions in our bank cover deep-learning, most of them ML Fundamentals & Algorithms. They average 3.5/5 difficulty — hard — and each one was reported by a candidate after a real interview. Companies known to ask about deep-learning: Datadog.

Practice these on the problems board →

Companies that ask about deep-learning

Datadog2

Question mix

ML Fundamentals & Algorithms2

Difficulty

3/5 — medium1
4/5 — hard1

Questions tagged deep-learning

Implement Binary Focal Loss
3/5
This machine learning challenge, commonly asked in interviews at Datadog, focuses on implementing the Binary Focal Loss function to help models handle difficult classification tasks with class imbalance. You will practice handling probability clipping, mathematical transformations, and various reduction strategies to compute per-sample penalties accurately. To access the complete problem requirements, mathematical formulas, and the full model solution, a paid subscription is required.
ML Fundamentals & AlgorithmsDatadog
Implement Grouped Query Attention Forward Pass
4/5
In modern machine learning engineering interviews reported by Datadog, implementing core transformer mechanisms from scratch is a crucial test of tensor manipulation skills. This challenge focuses on building the forward computation for a specialized attention variant where multiple query projections share designated key and value heads to optimize memory and compute overhead. Candidates must efficiently manage high-dimensional tensor shapes and apply scaling equations without relying on high-level wrapper libraries. Discovering the optimal vectorization strategy and reviewing the complete production-ready solution requires a full subscription.
ML Fundamentals & AlgorithmsDatadog

Studied alongside

numpy2

deep-learning interview FAQ

How many deep-learning interview questions are there?: 2 reported questions, mostly ML Fundamentals & Algorithms.
Which companies ask deep-learning questions?: Datadog (2).
How hard are deep-learning questions?: They average 3.5 out of 5: 1 at 3/5, 1 at 4/5.